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How to Create Presentations with AI using ChatGPT

We all know the hype about ChatGPT, the website-based application developed by OpenAI that answers almost every question you can think about. But what could be its potential to help presenters? Is there room for AI presentations at this current state-of-the-art?

This article will explore what ChatGPT represents for business professionals looking to create quality presentations. As an extra, you will get a case study using ChatGPT to generate ideas to power up a sales presentation. Let’s get started.

Table of Contents

What is ChatGPT?

What does it mean to use ai in presentations, gpt for slides, how to use chatgpt in presentations to engage viewers more effectively, chatgpt free vs. chatgpt plus, case study: creating a smartwatch sales presentation with the help of chatgpt free version (gpt-3.5), best practices for using chatgpt in presentations, alternatives to chatgpt for using ai in presentations, complementary ai for presentations, closing thoughts.

ChatGPT is a deep learning language model developed by OpenAI that is capable of generating human-like text based on the input provided. The main features of ChatGPT include the following:

• Generative Pre-trained Transformer (GPT) : ChatGPT is a cutting-edge, artificial intelligence-based text generation model that utilizes transformer architecture to create linguistically similar text to human writing. This technology has been pre-trained on an immense amount of linguistic data, allowing it to generate intricate and complex sentences with incredibly high semantic richness. Moreover, the output produced by ChatGPT would be 50% longer than usual as it can draw upon a wide range of diverse facts and details to expand upon the original input. This makes ChatGPT an incredibly useful tool for generating long-form written content with ease and fluency.
• Large-scale training : ChatGPT was trained on a massive dataset consisting of over 45 terabytes of text data. The model works by taking contextual cues from the query and utilizing its store of knowledge to craft an appropriate response. Additionally, ChatGPT can learn from user feedback, so it keeps improving over time, providing better results each time the system is used.
• Contextual understanding : This AI tool can model various conversational scenarios using its powerful language modeling and natural language processing capabilities. Therefore, it allows ChatGPT to be able to recognize complex structures of conversations such as discourse, dialogue acts, sentiment analysis, summarization, etc. The system uses large conversational datasets to learn and generate meaningful responses. By modeling contextual information from these datasets, ChatGPT can comprehend nuances in conversations more accurately than existing AI systems. Furthermore, it can perform many other tasks like text classification or text summarization with high accuracy.
• Multiple use cases : ChatGPT can be used for various natural language processing tasks, including question answering, text generation, dialogue generation, and text classification, among others. It is an ideal tool for creating content from a different perspective or brainstorming content ideas.
• Customization : We are speaking about a natural language processing (NLP) tool that can be customized and fine-tuned to the specific requirements of any user or domain. Retraining ChatGPT involves adjusting various parameters such as word choice, sentence structure, and even word meanings to maximize its capabilities for the intended task.
• API-based deployment : ChatGPT can be easily integrated into applications through its API, allowing developers to build custom applications that leverage the power of deep learning for text generation.

All in all, we talk about a multi-purpose tool that can help us for a large number of purposes. Users ought to keep in mind that responses, in some contexts, are not accurate since the software may know about extremely specific topics. Hence, it is constantly learning, and users can correct wrong inputs.

AI tools are used in many different industries, but for presenters, ChatGPT presentations go from the perspective of content generation. Let’s think about the main issues presenters face as “creativity blocks”:

• Not knowing how to break concepts into simple terms or easy-to-apply steps.
• Not knowing how to summarize large chunks of text.
• Getting overwhelmed at the time of picking color combinations.
• Selecting which content should be allocated per slide.

On top of that, we can add lacking presentation skills and feeling stuck when working with time-restrictive presentations as two extra creativity blockers. Although they can be overcome with patience, harnessing new skills, and sometimes asking for professional feedback, AI tools can bring a different perspective. 

Think of slides AI-powered by deep learning as having a coach next to you to help brainstorm ideas for your presentations. You can ask the coach to give you a basic outline of a topic, a selection of titles for an article or presentation, and even take a step further and hint hooks to elevate the performance of your presentation. Some other tools, which we won’t dwell on here, can help generate better graphics or analyze data you need to insert into your slides.

Exploring the potential of AI-generated visuals in presentations

Captivating visuals are a key component of delivering impactful messages to the audience. ChatGPT brings a new dimension to presentation design by enabling the creation of AI-generated graphics. These visuals can be seamlessly integrated into PowerPoint or other presentation software, enhancing the overall quality and appeal of the slides.

Whether it’s generating charts, infographics , or illustrations, ChatGPT can quickly analyze data and generate prompts that can be provided as input used to produce visually engaging content through other AI tools such as Midjourney. Presenters can now spend less time designing visuals and more time perfecting their narrative.

Overcoming challenges and limitations with ChatGPT in presentations

While ChatGPT brings remarkable potential to presentations, it is not without its challenges and limitations. One of the primary challenges is ensuring the accuracy and reliability of AI-generated content. Presenters must exercise caution and review the AI-generated text and visuals to verify their correctness before incorporating them into their presentation. Fact-checking is essential to avoid unintentionally presenting false or misleading information.

Additionally, ChatGPT’s lack of emotional intelligence may hinder its ability to respond appropriately to emotionally charged topics or gauge audience sentiment accurately. Presenters should be mindful of relying solely on ChatGPT for sensitive or emotionally nuanced presentations, as human intuition and empathy remain irreplaceable in such scenarios.

Furthermore, ChatGPT may encounter difficulties with understanding context and providing relevant content. ChatGPT 4.0 encounters these difficulties more often than the legacy versions because of the misuse of premium features by different users. As the model’s capabilities evolve, these limitations are expected to improve. Presenters should keep these limitations in mind and be prepared to fill in any gaps that arise during their presentations.

Incorporating natural language processing in presentation interactions

Natural language processing (NLP) is an amazing enabler that fully supplements ChatGPT and adds lots of strength to the interaction and overall engagement with the audience. In the presence of NLP, the presenter can engage on a real-time basis with ChatGPT while delivering the presentation. Audience members are encouraged to ask questions or seek clarifications about the content of the seminar, and new additions include interactive audience polls.

ChatGPT provides a detailed conversation, for that matter, and is thus able to create corresponding responses, so all Q&A sessions become useful and informative. Besides, since ChatGPT is capable of handling deeper and more complex questions using NLP abilities, the engagement goes further into helping the presenter handle specific questioning from the audience right there and, at that point, hence personalizing the presentation for each viewer.

Sentiment analysis can be done through NLP on the go during the presentation, so that the presenter is able to comprehend the feelings of the attendees present in the room and, therefore, drive the content and delivery according to the sentiments. This helps to make sure that the audience is kept engaged and sits throughout the session without any distractions.

Enhancing audience interactivity with AI-powered Q&A sessions

Q&A sessions enhanced by AI empower audience interactivity. Through ChatGPT, a presenter might be able to engage in long Q&A sessions without being confined by time restrictions. Members of the audience may ask questions, and ChatGPT could then parse and even categorize these requests so that it aids the presenter in giving out thorough and accurate answers.

Additionally, the capacity of ChatGPT to predict follow-up questions can make it more effective in drafting more insightful answers. As a reaction by audiences, they feel more involved and valued in the preparation thus increasing their active participation.

AI-powered Q&A sessions benefit not only the audience but also presenters for the feedback and insights that could be received from the audience. In fact, due to the feedback loop in the communication process, it could be used to adjust what to present in the foreseeable future and how to add value to the audience.

Future possibilities: AI’s role in transforming presentations

As AI technology, including ChatGPT, continues to advance, the future of presentations holds exciting possibilities. We can expect AI to play an even more significant role in transforming the way presentations are created and delivered.

AI-driven virtual presenters might become a reality, capable of conducting presentations autonomously. Virtual presenters could adapt their content and delivery based on real-time audience interactions, resulting in highly personalized and engaging presentations.

Furthermore, AI could aid presenters in speech coaching, offering suggestions for improving delivery, tone, and engagement. This real-time assistance can help presenters refine their presentation skills and deliver more effective talks.

The integration of AI-generated visuals and animations could lead to stunning and immersive presentations, captivating audiences like never before. AI’s ability to analyze audience preferences and behavior can also enable dynamic content generation, ensuring that presentations remain relevant and compelling to diverse audiences.

ChatGPT can produce intriguing content pieces for presentations, and now you can use it to generate the content for your slides, a presentation structure, or even the images and visuals for your presentations, with its built-in integration with DALL-E 3. This AI engine can create ideas and prompts for pictures and visuals that would enhance the quality of your work. Alternatively, you can use other AI tools for image generation with the prompts created by ChatGPT.

Ethical considerations when using AI in presentations

As we embrace the potential of ChatGPT and other AI technologies in presentations, ethical considerations must be at the forefront of our minds. Presenters must be transparent about the use of AI-generated content, informing their audience about the degree of AI usage. In scenarios where AI is not used to generate the exact content for presentations and answers, presenters are not ethically bound to make a statement. However, if AI had a vital role in coming up with the answers presented to the audience, the presenters are ethically bound to make a statement about the use of AI in their presentation.

Additionally, data privacy and security should be given utmost importance. Presenters must ensure that sensitive information is not shared with AI platforms and that data is handled responsibly and in compliance with relevant regulations.

While AI can greatly enhance presentations, it is crucial to retain human oversight and judgment. Presenters should avoid over-reliance on AI and ensure they maintain control over the content and flow of the presentation. AI should be treated as a valuable tool that complements human expertise rather than a substitute for it.

Ultimately, embracing AI in presentations requires a thoughtful and responsible approach, where the benefits of technology are balanced with ethical considerations and human values.

Many of us are already familiar with the basics of ChatGPT, but in fact, this software implements what’s known as a Generative Pre-trained Transformer, the language model developed by OpenAI. Therefore, ChatGPT isn’t the only gateway to use GPT for presentations.

The key to unleashing GPT power in presentation design is to work with the now-released open-access API that allows developers to use GPT in their applications. Multiple applications already count with integrations with ChatGPT and Generative AI, such as Zapier, Copyleaks, Code Snippets AI, and Notion AI , or even our AI Presentation Maker . Another one that truly caught our interest is MagicSlides.

Although this is not equivalent to ChatGPT for Google Slides, MagicSlides is a third-party plugin that allows us to work with the GPT API in Google Slides. To use it, you must count on an OpenAI account to create an API key access to GPT. Working with a single Gmail account is recommended to avoid performance issues. If your Google Chrome profile has multiple accounts, create a new profile from scratch and work only with one Gmail account.

Then, the concept is quite simple: you give the plugin a topic and the number of slides to create, and that’s it. You can add extra info as an optional feature, like instructions for which tone to use, which keywords to list, etc. The outcome is a simple presentation structure in a solid color background; you can customize from that first iteration to your preference, like changing the Google Slides theme color , for example.

Depending on your goals, there are multiple takes on how you can use ChatGPT to make your presentations more engaging. For starters, you can use this deep learning model tool to create AI-powered presentations in the format of interactive Q&As , allowing users to ask questions and visualize the responses live. If your presentation has a multicultural audience, ChatGPT offers the option to provide real-time language translation , which can be integrated via subtitles into the presentation template .

Storytelling is a powerful asset for presentations, and through ChatGPT, users can generate narratives from scratch or based on a set of prompts. These stories can be personalized by adding interests from the audience’s members or preferences, so the story remains relevant to the overall presentation. Another important feature to highlight is that we can generate character dialogues for our stories, making the presentation more immersive and entertaining for the audience. Also, ChatGPT can add contextual data in the shape of statistics or big data information, turning them into understandable pieces of information rather than complex concepts.

In terms of visuals, we can create captions and descriptions or generate alt-text for images, videos, and animations, making them accessible-ready. 

This same take can create accurate virtual tours through ChatGPT, providing information, context, and insights on specific locations during a presentation.

Gamification is another area to exploit through AI-powered presentations, and we can add that element to our slides in the following formats:

• AI-powered quizzes : By integrating ChatGPT in presentations, we can create AI-powered quizzes or trivia games as alternatives to Q&A sessions. This serves to test the audience’s understanding of the topics exposed.
• Scavenger hunts : We can create a presentation powered by ChatGPT in which the audience has to solve puzzles or find content based on the presentation information.

For sales purposes, ChatGPT can help business professionals generate predictive analytics models to understand market trends or customer behavior, making an impact in sales presentations. 

We cannot conclude this section without mentioning the ChatGPT integration procedure’s basics required for some of the features exposed here. As users, we must integrate ChatGPT into the presentation software as an API or a plugin. Then, the input recognition helps the deep learning model understand text input from the user or the audience. Thanks to its NLP (Natural Language Processing) algorithms, the information passed through the ChatGPT API is processed to generate an appropriate response and streamed through selected mediums.

ChatGPT is available to us in two versions: a free version, with ample capabilities but restricted to a number of inputs per hour and advanced tools; and a paid version, with up-to-date features and virtually no restriction for usage. The first version is ChatGPT Free (in its current GPT-3.5 model), and the second is ChatGPT Plus, which uses GPT-4.

Free users might face restricted access or longer wait times during high server demand. This limitation is due to resource prioritization, where the server capacity is allocated to maintain service levels, especially for paying customers. Still, premium users can find themselves restricted by a so-called Usage Cap , which is unfriendly considering it is a paid subscription service. Experience does tell us the limit gets reached sooner if using plugins or GPTs inside ChatGPT.

The response speed is also variable, as the premium members are prioritized. Typically, GPT-4 may feel a bit laggy compared to the paid GPT-3.5 version. For free users, response time will be at its lowest around 1-5 pm PST. 

Although the subscription-fee pricing may sound a bit hefty, depending on the usage of ChatGPT it can be profitable as it reduces the need to hire extra personnel for mundane tasks. Additionally, ChatGPT Plus comes with these particularly attractive features:

• Early access to new features or GPT tooling. Some of these tools are of interest to sophisticated tasks like research and data analysis.

• DALL-E integration: Paid members get full usage of DALL-E, using it solo via prompts to generate images or pair it with useful GPTs for specific purposes, like logo creation, cartoon characters, image generation, and prompt generation (intended for Midjourney).

• Image-to-text: Paid members access image-to-text responses by pasting the images in the input area. ChatGPT will analyze the image’s content and generate a response based on the prompt written by the user.

• Plugins: There’s a broad range of plugins available for users. Depending on your requirements, they get installed into your ChatGPT account and can be activated/deactivated. Remember that some of these third-party plugins may require an additional subscription fee by their creators.

When planning this article, the main objective was to test, from a presenter’s perspective, an introduction to ChatGPT for PPT presentations. Therefore, we devised a hypothetical case: A brand wishes to present its new smartwatch at a live event. The presentation has to be streamed, and there is a select live audience attending the event. This presentation follows the format of other tech presentations like new releases.

What are our main objectives to achieve in this case study?

• Obtain an outline of what the presentation should be about.
• According to the “sales presentation for a smartwatch” requirements, obtain a list of elements to include per slide.
• Generate suggestions on how to engage the audience to buy the product.
• Get insights on which elements to avoid while performing the presentation.
• Repurpose the presentation’s content to another format (article, social media, infographic, etc.)

So, our case study starts after logging into ChatGPT and giving detailed instructions: “Create an outline for a sales presentation about smartwatches.”

ChatGPT generated this presentation outline:

• Brief overview of the topic
• Purpose of the presentation
• Importance of smartwatches in today’s world
• Convenience
• Health & fitness tracking
• Communication and notifications
• Mobile payments
• Time management and productivity
• Display and design
• Operating systems
• Battery life
• Water resistance
• Sensors and tracking capabilities
• Showcase different models of smartwatches
• Highlight the unique features of each model
• Live demonstration of various functions and capabilities
• Share experiences of existing customers
• Highlight the impact of using a smartwatch in their daily lives
• Summary of benefits and key features
• Call to action
• Q&A session

Interestingly enough, it’s time to cross-reference with what we, as presenters, intend to create out of the presentation.

Slide #1 – Introduction

As suggested, the ChatGPT introduction PPT will be handled through the first slide. Since the brand presenting this smartwatch is already established and has brand recognition, the purpose of the presentation shall be to track back to some key features of prior presentations. This implies if the brand has an iconic aesthetic used to start the presentation , that format should be preserved. 

The point about the importance of smartwatches in today’s world is rather obvious given the kind of event; therefore, it will be replaced with some stats on how the brand has helped customers through the years to improve their lives thanks to these devices.

After the introduction is made, it should be immediately followed by an agenda slide .

Slide #2 – Benefits of smartwatches

Instead of generalizing the benefits of smartwatches, this second slide will directly speak about the features to be introduced in the to-be-released unit. It has to mention updates on health and fitness tracking functions (i.e., sleep pattern recognition, medication reminders, blood oxygen, wrist temperature, etc.), which new integrations it offers for mobile payments, productivity tracking apps, and how the notification system is updated. For convenience, we can directly mention a lighter watch specification (in terms of size and weight) or include those elements in the third slide.

Slide #3 – Key features of smartwatches

Now is the time to display your product in front of an audience. Some high-key photos taken by professionals should appear, as well as animations with a 360-degree view of the model. 

Next, we have to talk about the specs. Battery life, display size, and type, display resistance, waterproof/weather resistant capabilities. The new OS version is to be included in the unit, with the revisions listed from a prior version. To conclude, here is a list of the sensors paired with this smartwatch and their expected functionality.

Product demonstration

This point doesn’t have to be a slide. It can be a blank slide. A slide featuring the title “Product Demonstration” or a video. The purpose is to give room to the presenter to engage with the device, showing its functionality in real-time to the audience. Cameras should focus on the watch in detail as the presenter emulates daily life activities using the smartwatch.

Slide #5 – Customer testimonials

This can also be displayed in video format, with happy customers interacting with priorly-released units, to conclude with powerful graphics showing “the future” – a.k.a. the new model released.

Slide #6 – Closing

This is where you can become creative. A good point would be to feature an infographic comparing the functions and key specs between models (to highlight the reasons why users should upgrade). Call-to-actions are to be introduced here, using the element of excitement to create interest in buying the product.

What ChatGPT suggested

We ran the exercise of asking ChatGPT what would be content to list on these slides, and here is the output.

Slide 1: Introduction

• A captivating image related to smartwatches (which we added)
• A brief overview of the topic
• The purpose of the presentation
• A statement about the importance of smartwatches in today’s world

Slide 2: Benefits of smartwatches

• Benefits include convenience, health and fitness tracking, communication and notifications, mobile payments, and time management and productivity.
• An image or graphic to illustrate each benefit.

Slide 3: Key features of smartwatches

• A list of features includes display and design, operating systems, battery life, water resistance, sensors, and tracking capabilities.
• An image or graphic to illustrate each feature.

Slide 4: Product demonstration

• Images or graphics of different smartwatch models.
• A brief description of each model, highlighting unique features.
• A live demonstration of various functions and capabilities.

Slide 5: Customer testimonials

• Quotes from existing customers about their experiences with smartwatches.
• Images or graphics to accompany the quotes.
• Highlight the impact of using a smartwatch in their daily lives.

Slide 6: Closing

• A summary of the benefits and key features of smartwatches.
• A call to action (such as encouraging the audience to purchase a smartwatch)
• A space for questions and answers.

As we can see, ChatGPT’s approach isn’t far from what we accommodate the presentation to be. It is pretty generalist despite mentioning the case in first person during the user input, but that can be expected from AI deep learning models. Reiterative answers in some sections can also happen, although not as noticeable as other alternatives to ChatGPT, which we shall mention later.

Engaging the audience with ChatGPT

Points #1 and #2 of our case study are done, so we move to get suggestions from ChatGPT to engage the audience about buying the brand’s smartwatches.

This AI tool presents us with six different hooks to engage our audience .

• Pain point focus : We have to identify a common pain or problem many people face, then show how our smartwatch solves that problem. For example, it uses the case of difficulties experienced in time management and how a smartwatch can solve that problem.
• Personalization : This hook focuses on how the smartwatch can be customized to fit each individual’s needs and preferences. We can mention changing the watch face, the app market, or using custom bands. 
• Health and wellness : By highlighting the health and fitness tracking capabilities, you can show customers how to lead a healthier and more active lifestyle.
• Convenience : This hook points to using the smartwatch in daily activities such as making phone calls on the go, enabling mobile payments, or browsing notifications without needing to check your phone.
• Emotional connection : Using customer testimonials, you can create personal stories demonstrating a smartwatch’s positive impact on someone’s life.
• Highlighting unique features : This would be your competitive edge. Explain which features make your smartwatch stand out in the market.

Recommendations on presentation mistakes

An advantage of GPT language is the ability to develop accurate recommendations based on the context showcased. For our case study, we asked ChatGPT if there were any mistakes to avoid when giving this presentation about the release of a new smartwatch.

In this case, ChatGPT presents us with seven mistakes that presenters commonly make on topics like this. We can put aside the lack of preparation, as no professional presenter would arrive at a product release presentation without proper practice and assets. 

The second mistake is related to bombarding your audience with technical details, which can end up boring the spectators. Instead, it offers the alternative of shifting focus to the product’s benefits and how it can help solve real-life problems.

Ignoring the competition as a mistake is questionable. You don’t see Apple speaking about Samsung smartwatches in their product releases, nor Sony talking about Nintendo or Xbox when presenting their newest PlayStation unit. That should go more from a preparation side when researching what the competition did to catch the audience’s attention.

Not showing the product! This suggestion surprised us. Honestly, how can you come up with a presentation about a product release and not even show a photo of the product itself?

Failing to answer questions can happen if the presentation stretches long enough to conclude the event, but it is not a common mistake in professional technology presentation events.

Poor visuals and slides, yes, we concede it is a common issue experienced by presenters, especially if they are overly populated with text.

Finally, it lists not practicing the presentation, which we also put aside as we did with the first mistake.

Overall, we ended up with 2 valid suggestions to look for out of the seven suggested. We can always retry the output, but when we tested that, the suggestions were pretty much similar.

Repurposing content with ChatGPT

So what if we intend to use the information in this presentation for another medium, for example, a blog post on the brand’s website? We asked ChatGPT to give 10 title ideas for blog posts on smartwatches for a tech website.

• “The Top 10 Features of the Latest Smartwatches”
• “Why Smartwatches Are the Future of Personal Technology”
• “How to Choose the Best Smartwatch for Your Lifestyle” – OK
• “The Health Benefits of Owning a Smartwatch” – OK
• “The Most Innovative Smartwatches of the Year”
• “Smartwatches vs. Traditional Watches: Which is Right for You?”
• “Maximizing Your Productivity with a Smartwatch” – OK
• “How Smartwatches are Changing the Game for Fitness Tracking” – OK
• “The Convenience of Mobile Payments with a Smartwatch” – OK
• “The Impact of Smartwatches on the Wearable Technology Market”

Out of the ten titles suggested, half are a good fit for the content of our presentation, which, of course, requires additional research. 

Asking ChatGPT for extra recommendations

So far, the outputs generated by ChatGPT have been interesting from a content perspective. But let’s ask some more questions to test its true capabilities as AI content.

We start by asking, on that same thread, how long the presentation should be.

It gives a vague answer about sales presentations, recommending sticking it below the 30-minute mark. The section about “clear, concise, and engaging manner” is presented as a vice through this thread – we believe we counted about 7-8 times that same sentence repeated in the entire chat.

We move on to another question, this time asking ChatGPT which would be the best visual medium to present a smartwatch: a detailed infographic or a video.

Again, we see the “clear, concise, and engaging manner” phrase in the second paragraph, which is somewhat rephrased in the final paragraph of this output. The suggestion retrieved is that infographics can help sales presentations highlight key features and benefits while also clarifying to the audience what your competitive advantage is. It recommends using videos as a bridge for emotional connection with the audience since they can demonstrate the product in action.

Finally, we wanted suggestions about the color scheme in the presentation slides to encourage customers to buy the product. Below is an image of the output generated.

If you check our article about color theory , especially in the section about color psychology, the suggestions are okay. The question lies in a generalist output rather than explicitly suggesting a color palette for this.

Now it’s time to brief some tips to help presenters extract the potential of ChatGPT for presentations at its current state-of-the-art.

Avoid complex inputs

Asking a detailed question can make ChatGPT crash. You can question whether it is your mistake or just the server overloading. A good practice for this is checking ChatGPT’s homepage, and if the message shown below is displayed, there’s a server outage.

This can be flagged as a partial outage triggered by requests going way higher than the system can handle. Those peaks in navigation are seen at certain hours, especially during the Pacific Time afternoon. A complete server outage can happen, and that’s notified through a different warning, saying the service will be up soon.

Don’t rely on the text generated by ChatGPT

Especially if your intent is to repurpose the presentation’s content for a blog post, be EXTRA cautious when using AI tools like ChatGPT. Google is flagging and penalizing websites that retort to AI content generation . This is explained by the necessity of providing users with the best quality content available for their search queries. Your website can endure a severe demotion in rankings triggered by ChatGPT content.

A good practice is to rephrase the content manually, meaning to actually read what ChatGPT generated and explain it in your own words. That way, ChatGPT becomes an idea generator rather than a content generator.

Take a look at repeated outputs

You can always regenerate the response if the output doesn’t satisfy your needs or rephrase the question to make it more specific. We tested the option of saying “do not include…” but it works randomly. 

Any AI tool for presentation is not intended to become an instant solution, and we cannot assume that we can entirely create a presentation with ChatGPT as the only resource. This process requires patience, skills to give the proper instruction (to avoid those repeated outputs), and a good deal of copywriting skills.

Outlines and title generation

ChatGPT is an amazingly effective tool for creating presentation outlines, helping a common writer’s block. Title generation is accurate, although it falls into the generalist category and can be easily flagged as AI content. We advise you to double-check titles, rephrase, or simply use the output for brainstorming.

Learning a new skill/definition

Say you have to deliver a presentation about a concept you don’t clearly understand – which, under some situations, can perfectly happen. ChatGPT can help you learn that concept to basic professional competence, and you can ask as many questions as desired to get a broader picture of the topic. Think about it as a personal, free coach. 

Of course, do not take the outputs as absolutely true, as some responses can be biased through the machine learning procedures applied. With dedication, you can train ChatGPT yourself and help the community get better responses.

Evaluate emotions

Yes, as cutting-edge as it sounds, the natural language processing features of ChatGPT and its machine learning algorithms help users evaluate their emotions in different datasets. How can this process be accomplished? Let’s go through a basic overview.

• Data Collection : Feed ChatGPT with transcripts from speeches or customer reviews.
• Model Review : ChatGPT uses machine learning algorithms such as Support Vector Machines (SVM) or Recurrent Neural Networks (RNN) to develop the emotion recognition model.
• Prediction : After the system processes the information, the output is sent using predictions that can be repurposed into new information.
• Integration : With the new information generated, we can create graphs and charts to turn into visually-understandable data the emotion analysis generated.

This kind of feature is ideal for processing large chunks of data regarding customer reviews and finding common patterns of conflict (i.e., areas in which customer service can be improved).

Despite being the best-advertised option for GPT language tools, presenters should check other AI alternatives for content generation.

In our experience, Jasper one of the best content generator based on AI available in the market. We tested it in multiple scenarios, like generating metas, creating a presentation structure, generating step-by-step solutions, title ideas, and more.

We can work from pre-made templates or directly use the powerful Boss Mode, which is intended for long-format text generation, and it crawls the internet to search for valid answers.

Our objections? Jasper can be reiterative with its answers, rephrasing or reusing the same sentences in the L length (which is the maximum) of text generation. Much like what happens with ChatGPT, some answers fall into the generalist side, meaning there’s room for improvement.

Frase is an AI tool for content generation to improve Google search ranks.

We can appreciate considerable differences in keyword management for content generation (Jasper only allows 3 keywords), maybe due to this tool’s primary intent, which is web content.

Users can generate presentation structure, content briefs, large pieces of content, detailed analysis, and more, and customize where the AI engine is extracting the information from (if SERP, People Also Ask, Questions, Headers, Topics, etc.)

For presenters, Frase can be used to generate speeches or repurpose presentations into quality blog articles. 

Tome.app ppt is a new multimedia tool to generate AI-powered presentations by integrating ChatGPT, Dall-E, and other interesting features.

The free mode offered by Tome is pretty simple. You sign in and then are offered a set of pre-made templates to test. Or, you can hit the create button and create a presentation from scratch. 

You then write what the Tome presentation is about and click on create. Options for selecting which type of illustrations you want to add are listed, and if you intend to create a presentation, an outline, or a story.

It is an interesting take on presentation crafting. However, some users can feel it is restrictive due to using only Dall-E-generated images instead of uploading their photos. 

iA Presenter

Finally, we have iA Presenter, a tool still in the beta stage with a waitlist to access its features.

The proposal is truly interesting: you introduce text that can be extracted from multiple sources, and then you designate which are the headlines (using the # in front of the text). Slides are separate from each other by adding a – – – (triple dash) on the text. 

Images can be easily incorporated, and there are plenty of options to create visual cues, such as gradients, which are better audience magnets than common bullet points.

In this section, we wish to list some of the tools we have tested to speed up the content creation process from scratch. Yet when we consider the future of AI presentation as something vague, these tools have caused an uproar in terms of content development.

As the final AI image generation tool on this list, we should mention Midjourney , an AI tool that has raised controversies when winning an artist competition against real-life artists .

To access Midjourney, you have to apply to the official waiting list. After you are accepted, you’ll receive an invitation to their Discord server – a requirement to interact with the tool.

Like any Discord server, your interactions with the tool are public unless you create a private channel and invite the Midjourney bot to it. This would be our personal suggestion so you preserve the privacy of your projects. Midjourney works with credits in a subscription-based plan (basic tiers allow 200 images per month). The time to process each image depends on demand.

As we have seen with Jasper, DeepAI is a text-generator AI tool based on NLP (natural language processing). Its application is to create creative content as if written by humans, but we found its most powerful application in text translation.

If you used to struggle with making subtitles for your presentations, then take a look at DeepAI now.

Synthesia.io

We can all agree that video content production is expensive. Especially if we have to hire actors to do voiceovers or have them appear in video presentations. Synthesia.io takes video content creation a step further, allowing us to produce realistic videos with realistic AI avatars. These avatars are gender diverse, and they can fit multiple contexts, like doctors, corporate workers, athletes, common people, and even Santa Claus!

There is multiple language support available for Synthesia, with access to distinctive accents (like you want your avatar to talk in Mexican Spanish rather than Castillan). 50 customizable video templates are available for users, and you can also retrieve graphic assets from your computer or royalty-free services like Unsplash or Pexels.

This tool is subscription-based, but you can start with a free trial. For a text-to-video tool, the fee doesn’t sound that expensive, especially considering the outcome and what it would be to produce such reels with real-life actors. We want to highlight that, in some cases, avatars look a bit robotic (like not blinking when speaking), so test the different options available with enough time to craft the best quality video for your needs.

If you want to deliver presentations with realistic AI voiceovers, then you ought to test Murf AI. It is a text-to-audio AI generator, with a library of more than 100 professional voice actors in 20 different languages. Creating voiceovers in Google Slides presentations is an easier task now as you can export voice, voice + music, and even subtitles in formats like MP3, WAV, or FLAC. Exporting to video is another option, but we find tools like Synthesia to be more powerful for this purpose.

What is AI for presentation design?

AI for presentation design refers to the use of artificial intelligence tools and software to assist in creating, enhancing, or automating various aspects of presentations.

What are the limitations of ChatGPT?

ChatGPT can’t be fully trusted for the accuracy of information, especially in matters of recent events or really specific subjects. It often messes up and the response isn’t accurate. Another thing is that it lacks essentially personal experience and feelings. That’s because it is a machine learning model that has been trained on a wide range of text from the internet but does not have the capability to access or retrieve information beyond what it has been trained for based on data up to its last update.

How does ChatGPT handle sensitive topics?

It is coded to avoid engaging in conversations about illegal activities, explicit content, and other sensitive topics. Still, some users have tested this to the limit by rephrasing the prompts to force ChatGPT to answer (for example, in piracy-related conversations). Users should also take into account that some answers may be politically or socially biased.

Can ChatGPT speak multiple languages?

ChatGPT is capable of understanding and generating text in multiple languages, though its proficiency varies depending on the language. Much like Google Translate, English is the base language and the answers are best delivered if asked in English.

Does ChatGPT Plus offer API access?

ChatGPT Plus itself does not offer API access, but OpenAI provides separate API services for businesses and developers.

How does ChatGPT handle user data?

ChatGPT follows OpenAI’s privacy policy, which includes measures to protect user data, but it’s important to avoid sharing sensitive personal information.

What happens if you reach the Usage Cap in ChatGPT-4?

The tool will trigger an error message saying you reached the limit and from which hour it will be available to use again. As a “solution,” it offers to switch to GPT-3.5 to deliver the answer.

Does ChatGPT learn from user interactions?

ChatGPT does not learn in real-time from individual user interactions; it learns from a wide range of data during its training phase.

Can an AI presentation maker help with slide layout and design?

Yes, AI can suggest slide layouts, font choices, color schemes, and design elements to create visually appealing slides. Still, remember that ChatGPT is a language model and not an AI presentation maker on its own.

Is AI capable of proofreading and editing presentation content?

Yes, AI for presentation can proofread and edit presentation content for grammar, spelling, and clarity to improve overall quality. We still recommend pairing it with proven quality tools like Grammarly for reassurance on grammar correction.

The current state-of-the-art for AI presentations is rather incipient. 2022 can be taken as the first year in which AI started to fill the conversation topics and proved itself to be a powerful variant of human-created content, although not a replacement.

We consider there’s room for improvement in ChatGPT for PowerPoint presentations and in all tools presented here, which naturally shall follow through usage. Regarding ChatGPT, the potential lies in idea generation, not copying/pasting extracted content. Think of ChatGPT as an extra tool in your arsenal to become a better presenter, not the panacea for presentation design.

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ChatGPT will create an entire PowerPoint presentation for you — here's how

The future of AI is wild

Could you imagine not needing to lift a finger after commanding an AI to make an entire PowerPoint slide for you? Well, no need to daydream any longer. Microsoft's AI Future of Work kicked off today, and we're blown away by what the Redmond-based tech giant has in store regarding the future of Microsoft 365 .

As we've seen with the launch of Microsoft's AI-powered Bing, the company is moving full force ahead with rolling out ChatGPT -flavored services to the masses — and this AI event solidified Microsoft's AI-driven ambitions (h/t DigitalTrends ).

ChatGPT will facilitate PowerPoint and other Microsoft apps

Microsoft is poised to introduce Copilot to Microsoft 365 apps. Let's break down what this means. Firstly, as it stands now, many developers currently use GitHub Copilot, a tool from OpenAI — the mastermind company that launched ChatGPT — that utilizes the power of AI to help them write code. 

Microsoft plans to harness Copilot's smarts for Microsoft 365, including Word, Excel , PowerPoint, Teams, and more, allowing users to unleash a level of productivity that could never be done before.

As such, in the future, you can simply dictate your ideas to Copilot, and as a result, it can transform your simple prompts into an entire presentation. You can even use Copilot to help you consolidate lengthy slides onto a one-slide summary. The possibilities are endless!

Check out the following use cases below to see how Copilot will power other Microsoft 365 apps.

• Microsoft Word - Get rid of "writer's block" by using the integrated Copilot tool, which can create first drafts for you. You can even ask Copilot which tone you should use (e.g., professional or casual?) to strike the best note with your target audience.
• Excel - Got a massive Excel sheet of data? Ask Copilot to give you a summary about the data in an easy-to-digest manner. It can even go as far as proposing "What if?" scenarios based on the data you feed it.
• Outlook - Went on vacation for a week? Ask Copilot to give you a summary of all the emails you missed while you were out. Plus, you can also rely on Copilot to draft invites, replies, and more on your behalf.
• Teams - With Copilot, you can create meeting agendas based on your Teams' chat history. If you missed a meeting, you can have Copilot summarize the points that were made.

Since Microsoft announced its investment in OpenAI in January, the AI firm suddenly made explosive moves that rattled the tech industry.

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Not too long ago, we wrote about GPT-4's launch and how it's better than the last iteration ChatGPT . Now, we're already hearing that a ChatGPT-esque engine will be powering Microsoft 365 apps in the future — all of this AI stuff is coming at us fast!

Kimberly Gedeon, holding a Master's degree in International Journalism, launched her career as a journalist for MadameNoire's business beat in 2013. She loved translating stuffy stories about the economy, personal finance and investing into digestible, easy-to-understand, entertaining stories for young women of color. During her time on the business beat, she discovered her passion for tech as she dove into articles about tech entrepreneurship, the Consumer Electronics Show (CES) and the latest tablets. After eight years of freelancing, dabbling in a myriad of beats, she's finally found a home at Laptop Mag that accepts her as the crypto-addicted, virtual reality-loving, investing-focused, tech-fascinated nerd she is. Woot!

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Gamma.app: Create and edit presentations with AI chatbot

The year 2023 continues to surprise us, this task shouldn't have been that fast.

Upon discovering Gamma.app, we couldn’t help but feel a pang of nostalgia for our high-school days. Oh, the hours we could’ve saved on school projects! Creating presentations has traditionally been as exciting as watching paint dry, but not anymore.

What is Gamma.app?

With Gamma.app, you’re not just making slides—you’re crafting an experience.

This is no ordinary tool; it’s a digital dynamo, leveraging the power of artificial intelligence to elevate your creative endeavors. Whether you’re aiming to design a riveting presentation, draft a compelling document, or launch an eye-catching webpage, Gamma.app has you covered. And it doesn’t just stop at creation; it takes things a step further.

Imagine having a chatbot—that’s right, a friendly, AI-powered chatbot—acting as your personal editor. This chatbot isn’t just any chatbot; it’s an AI editor that allows you to tweak and tailor every single element of your final product. Need a snazzier image? Want to fine-tune your headlines? The AI editor is at your service.

I’m not a slide deck artist – Gamma makes it super easy for me to convert my documents into engaging presentations for company all hands, and takes me 10x less time than fiddling about with pixels on slides. Such a time saver. -Amelia, Co-founder & CEO at Honeycomb

So there it is, a glimpse into the innovative world of Gamma.app. Spend a little time with this tool, and you’ll emerge not just with a completed project, but also with a newfound sense of digital empowerment. Trust us, it’s a game-changer.

Features of Gamma.app

• Gamma.app’s AI-powered generator enables rapid creation of presentations, documents, or webpages in under a minute.
• Projects created are fully-formed and can be refined and customized.
• One-click polish feature transforms drafts into polished masterpieces.
• Break free from template constraints with Gamma.app’s creative freedom.
• One-click restyling allows rapid aesthetic changes without affecting content.
• Flexible templates designed for speed, efficiency, and adaptability.
• Projects created with Gamma.app are universally readable on various devices.
• Built-in analytics measure project engagement and impact.
• Quick reactions feature provides real-time insights and feedback.
• Simplified collaboration through commenting streamlines teamwork.
• Multi-device sharing ensures accessibility and beautiful display of projects.

How to use Gamma.app?

To kick things off, navigate your way to Gamma.app’s official website . Trust us, it’s where all the magic happens.

• Once you’re there, spot the “ Sign up for free ” button. You’ll find this gem perched at the upper-right corner of your screen.

• At this point, you have options. You can either sign up using your Google account or go the email route.

• As you make your grand entrance into the Gamma.app ecosystem, you’ll be greeted warmly. You’re not just a guest; you’re part of the furniture now.
• You’ll be prompted to name your workspace and specify its purpose. Are you flying solo ( Personal ) or is this a team effort ( Team or Company )? Once you’ve made the all-important choice, hit “ Create Workspace .”

• Don’t worry about commitment issues here. You can always go back and tinker with these settings later. Flexibility, people!
• Get ready for a quick, light interrogation. Gamma.app will ask you some straightforward questions like “ How do you plan to use Gamma? ” This is just their way of tailoring your experience, making it as smooth as a well-brewed cup of coffee.

• You’ve reached the starting line. Now it’s time to create. Will it be a presentation, a document, or perhaps a webpage? For the sake of this guide, we’re putting on our presenter hats and choosing “ Presentation .”

• Time to get specific. Gamma.app wants to know your topic of interest. We went with “ Machine learning techniques for beginners ,” but feel free to dive into whatever tickles your fancy.

• Brace yourself for a rough outline, provided by the app. You can tweak titles, add bells and whistles—really, the world is your oyster here. Click “ Continue ” when you feel like a proud parent looking at your outline.
• Ah, the pièce de résistance: selecting a theme.

• If you’re feeling daring, there’s a “ Surprise me ” option. We tried it, and voilà, a beautiful blue theme appeared as if summoned by a digital genie.

• Now comes the moment of zen: waiting for the process to complete. Your patience will be rewarded.

• But wait, there’s more! The app has an “ AI editor ” feature. You can instruct it to perform specific tasks, like swapping out images.

• We experimented by typing in, “ Can you find a more colorful image for this card? “

• And you know what? It delivered.

CLICK HERE TO SEE THE FINAL PRESENTATION

• So there you have it. A play-by-play of how to make the most out of your Gamma.app experience. Give it a whirl; we promise you’ll emerge more tech-savvy and creative than before.

Final remarks

Alright, let’s cap this off, shall we? If you’ve made it this far, you’ve practically taken a masterclass in navigating the sleek corridors of Gamma.app. From crafting presentations that don’t just ‘present’ but ‘captivate,’ to making collaborative efforts feel like a walk in the park, Gamma.app shines where it matters. The AI editor? It’s like having a diligent personal assistant who doesn’t judge your lack of design skills.

AI PPT makers that are leading the presentation renaissance

What we achieved here is more than a quick dip into a new tool; it’s a foray into how technology can make our lives not just easier, but also significantly better. You start off with raw text and ambitions, and what you end up with is a polished piece of art. Even though we’ve only skimmed the surface, the results have been—dare we say it—pretty darn impressive. Sure, no tool can promise the moon and the stars, but this one does offer a piece of the sky that you can call your own. Happy creating!

Featured image credit: Kerem Gülen/Midjourney

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Latest articles, efficient solutions for hospitals, bananaconf tallinn: where web3 is peeled open for all, harnessing market sentiment: a crucial indicator for crypto investment success, google unveils infini-attention technique for super-sized conversations with language models, copyright © dataconomy media gmbh, all rights reserved..

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Microsoft Copilot

AI for everything you do

This is the age of copilots

Supercharge your personal copilot experience with copilot pro.

Get premium AI features

Use Copilot in select Microsoft 365 apps 1

Create better than ever

Find the right copilot experience for you, copilot includes:.

• Chat with text, voice, and image capabilities
• Summarization of documents and web pages
• Image creation in Designer (formerly Bing Image Creator)
• Web grounding
• Use of plugins and Copilot GPTs
• For work: When enabled, commercial data protection is included for eligible Microsoft Entra ID users at no additional cost 3

Copilot Pro

Includes everything in copilot, plus:.

• Priority access to GPT-4 and GPT-4 Turbo in peak times
• Faster image creation with up to 100 boosts in Designer (formerly Bing Image Creator)
• Copilot in Word, Excel, PowerPoint, OneNote, and Outlook 1  (Microsoft email address required 2 ).

Copilot for Microsoft 365

• Copilot in Word, Excel, PowerPoint, OneNote, and Outlook 1
• Copilot in Microsoft Teams 5
• Enterprise-grade data protection
• Microsoft Graph grounding
• Customization and extensibility through Microsoft Copilot Studio

*A Microsoft 365 Business Standard or Microsoft 365 Business Premium license is required to purchase Copilot for Microsoft 365.

Enhance your experiences

Take the power of AI on the go

Your AI-powered browser

Bring the power of AI to your desktop

Shape the future of your business with Copilot

Review what’s most important

Uplevel your writing journey

Streamline business decisions

Turn your inspiration into stunning presentations

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Clear your inbox in minutes, microsoft excel video, microsoft powerpoint video, enhance every role with ai.

Development

Jump-start your AI transformation

Build your own copilots.

Microsoft Copilot Studio

Microsoft Azure AI Studio

Discover azure ai studio, build the future faster with copilot.

Protect at the speed and scale of AI

Enhance financial operations

Deliver compelling service experiences

Extend and create copilot experiences

Manage and operate your environment

Build generative AI apps and custom copilots

Boost creativity and work more productively

Help sellers close more deals

Empower employees in every business function

Work smarter and build faster

Empower every builder with next-generation AI

Get answers to your most challenging data questions

Code using natural language prompts

Explore AI at Microsoft

AI Strategy Roadmap

Building a Foundation for AI Success: A Leader’s Guide

A Microsoft 365 Personal or Family subscription is required to access Copilot in Word, Excel, PowerPoint, Outlook, and OneNote on PC, Mac, and iPad. Copilot in Excel available in preview, in English only. A product license for Microsoft 365 Business Standard, Business Premium, E3, E5 or Office 365 E3 or E5 is required to purchase Copilot for Microsoft 365.

Copilot features in Outlook apply to accounts with @outlook.com, @hotmail.com, @live.com, or @msn.com email addresses and are available in Outlook.com, the new Outlook for Windows, Outlook for Mac.

Microsoft doesn’t retain your prompts or responses, have eyes on your chat data, or use it to train the underlying AI models. Commercial data protection applies when users are signed into their work account using their organization’s Microsoft Entra ID.

This is a subscription paid yearly, user per year.

A Microsoft Teams service plan is required in order to use Copilot in Microsoft Teams. Some Microsoft 365 and Office 365 suites no longer include Microsoft Teams.  Learn more .

The World's Best AI Presentation Maker

Key features of our AI presentation maker

Use AI to create PPTs, infographics, charts, timelines, project plans, reports, product roadmaps and more - effortless, engaging, and free to try

Effortless Creation

Instantly transform ideas into professional presentations with our AI-driven design assistant.

Personalized Design

Automatically receive design suggestions tailored to your unique style and content.

Anti-fragile Templates

Employ templates that effortlessly adapt to your content changes, preserving design integrity.

PowerPoint Compatibility

Efficiently export your presentations to PowerPoint format, ensuring compatibility and convenience for all users.

Ensure consistent brand representation in all presentations with automatic alignment to your visual identity.

Seamless Sharing

Share your presentations effortlessly, with real-time sync and comprehensive access control

Analytics &Tracking

Leverage detailed insights on engagement and performance to refine your presentations.

Multi-device Compatibility

Edit and present from anywhere, with seamless access across all your devices.

Idea to Deck in seconds

ChatGPT for Presentations Create stunning decks at the speed of thought. You focus on the story. We handle the fine print.

Creative power that goes way beyond templates

Impress your audience with professional and engaging presentations. Easy to customize. Hard to go wrong.

Brand consistent

Ensure that your presentations match your brand's style and messaging.

Presentations.AI is simple, fast and fun

Bring your ideas to life instantly

You bring the story. We bring design.

A collaborative AI partner at your command

Create at the speed of thought.

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Article updated on April 9, 2024 at 8:00 AM PDT

Claude AI Review: The Most Conversational AI Engine

Claude is a loquacious AI chatbot that performed well in testing, but it doesn't always link to sources unless asked.

Our Experts

CNET’s expert staff reviews and rates dozens of new products and services each month, building on more than a quarter century of expertise.

Anthropic Claude AI

• Most conversational of all the available free AI engines
• Gives direct answers that feel well thought-out
• Asks follow-up questions for your opinions
• Can sometimes link to sources of info, depending on prompt
• Training data only up until August 2023
• Not connected to open internet

Basic info:

• Price: Free
• Availability: Web
• Features: Open-ended reasoning, multilinguality
• Image generation: No

I know for a fact that Claude , an AI engine developed by Anthropic, isn't sentient. But it certainly feels sentient. 

This is controversial framing, I know. AI experts have been quick to call out journalists for imbuing AI engines like ChatGPT with human-like qualities, saying it gives the public a skewed perspective of generative AI as robots with real thoughts and emotions.

But when Claude answers questions in contemplative ways and also goes out of its way to ask you follow-up questions and your opinions, it's hard not to be surprised by its supposed curiosity. Let's be clear: That curiosity isn't real. But when it asked me questions like, "What is your perspective?" I felt compelled to give it an honest answer. This type of reciprocal understanding is what humans do with one another. Maybe if I had electrodes taped to my head, scientists might notice levels of oxytocin, serotonin or other feel-good chemicals increasing. 

In conversation, we make points without sourcing pieces of information. And it seems the team at Anthropic wanted a similar experience when using Claude. While Claude wouldn't describe itself as an "answer engine," giving answers without directly linking to sources, it operates that way: Ask Claude to provide a source, and it might do so. But Anthropic designed Claude to not integrate links from the outset. This spells trouble for the creator and journalism economies online, which rely on clicks to sell advertising against. 

Don't just take my word for it: I asked Claude, and it agreed.

How CNET tests AI chatbots

CNET takes a practical approach to reviewing AI chatbots. By prompting AI chatbots with real-world scenarios, like finding and modifying recipes, researching travel and writing emails, reviewers aim to simulate what the average person might use them for. The goal isn't to break AI chatbots with bizarre riddles or logic problems. Instead, reviewers look to see if real questions prompt useful and accurate answers. See our page on  how we est AI  for more.

Anthropic does collect personal data from your computer when using Claude, according to its privacy policy . This includes dates, browsing history, search and which links you click on. Claude does use some inputs and outputs for training data, in the situations outlined in this blog post .

As handy as reviews are for making a purchase, people still turn to friends and family, those that might have direct knowledge, before pulling out their credit card. You might ask your car-friend whether to buy a 2007 Honda Civic over a 2006 Toyota Camry. Since they follow the market closely, they're aware of all the little nuances and quirks that you simply don't have time to invest in.

That's the best way I'd describe Claude. It's that nerdy friend who happens to know everything about a particular product category and can give you the pros and cons before you commit to a purchase. 

When I asked Claude to give me buying advice on the LG OLED C3 versus the G3 , it cleanly laid out all the major selling points and nuances in language that felt human and easy to understand. It explained how the heatsink in the G3 can help it sustain higher brightnesses over the C3, allowing HDR colors to pop. In natural language, it explained why the G3 would be the TV to get if money is no object, but said the C3 is still an exceptional TV and worthy of purchase if money is tighter. 

I also pushed Claude to give me a purchase decision between a 77-inch C3 and a 65-inch G3. Claude didn't mince words. It immediately recommended the larger model, even if that meant sacrificing some features found in LG's more premium variant. This advice is in line with CNET's TV expert David Katzmaier, who routinely says the same.

Since I already own an LG OLED C9 from 2019, I asked Claude if there would be a noticeable jump in quality if I upgraded to the C3. Claude did an excellent job of explaining that, no, the differences between the models would be slight and not noticeable to most people. 

Compared to Google Gemini and Perplexity , Claude performed the best in giving buying advice. Because it did very little fence-sitting and made clear, focused points, it really didn't require many follow-up questions. Microsoft Copilot followed closely to Claude, also giving precise buying advice that was also interpersonal. ChatGPT couldn't be used in this comparison as its training data is only up until September 2021. 

Claude might be fun to talk to, but it should probably stay out of the kitchen, at least when making Indian food. 

For a chicken tikka marinade recipe, it pulled together an adequate list of ingredients to make a very barebones dish. Sure, it included grated ginger, ground cumin and garam masala, but didn't include others that would elevate it into something more authentic. These ingredients include Kashmiri chili powder, kasuri methi (dried fenugreek), chaat masala and amchur (dried mango powder). Heck, it didn't even include turmeric or garlic. 

When asked what ways this marinade could give it that deep red color chicken tikka is known for, then did Claude recommend Kashmiri chili powder. 

Google Gemini performed the best in the recipe category, including more complex ingredients often found at an Indian grocery store. Perplexity, ChatGPT 3.5 and Copilot performed on par with Claude.

Research and accuracy

AI will revolutionize research. Instead of having to flip through books or scroll through PDF files found on Google Scholar, you'll be able to turn to AI to absorb mountains of research and synthesize the complex information for you. That's the goal, anyway.

Where AI can excel is helping find pieces of information so that researchers can bolster their own work. Claude excels in bringing together valuable pieces of information as well as connecting the dots from different sources. 

For example, there really hasn't been a ton of research on the effects of homeschooling and childhood brain development. There is research, however, on different educational environments and teaching methods and how that affects neuroplasticity.

Claude was able to pull bits of information from various studies on alternative educational environments. It explained how low-stress and low-competitive environments could lead to more efficient neural coding. Homeschooling, however, has some obvious social drawbacks, as Claude points out. Not interacting with other children could hinder neuroplasticity. 

For someone wanting to write a research paper about this topic, Claude provides essential building blocks to get work started in a speedy manner. When prompted, Claude was also able to provide sources. None of these sources were made up, meaning Claude is doing a good job of preventing itself from hallucinating . It also gave hyperlinks to these sources, of which all but one worked. 

Compared to the other AIs tested, such as Google Gemini, ChatGPT and Perplexity, Claude and Copilot performed the best in both synthesizing information and then also linking to actual sources. 

Summarizing

AI chatbots have had trouble summarizing articles in our testing. While they're usually able to get some key overarching points, all fail to capture the main argument presented. Claude wasn't any different. 

When asking it to summarize an article I wrote during CES earlier this year about the proliferation of AI at the show, Claude did a good job in noting all the companies and industries that embraced the rapidly growing tech. It did, however, seem to skip right over many quotes I'd gathered from experts. For example, one expert said that much of the AI hype we're seeing is just a rebranding of smart tech from a few years past. Claude, like Google Gemini, Microsoft Copilot, ChatGPT and Perplexity, failed to grasp this point, which addresses a direct and pertinent criticism being lobbed at the tech industry.

Still, Claude can give a decent breakdown of articles. Just don't expect it to perfectly capture every key point right before you have to give a presentation in front of class.

Finding the best places to see and eat in New York is easy. There are mountains of websites and books written about The Big Apple. What about Discovery City, also known as Arch City, also known as the Biggest Small Town in America, also known as Columbus, Ohio? 

When creating a three-day travel itinerary for Columbus, Claude did an adequate job of putting together a sights-and-sees list. Claude continued to excel in its use of language and formatting, laying information out in a clear and concise manner that was easy to follow. 

But Claude made some errors, possibly because it isn't connected to the open internet like Google Gemini, Copilot and Perplexity. It recommended going to The Crest Gastropub for lunch in German Village, a restaurant that is now permanently closed. Apart from that fumble, it gave good recommendations overall, such as touring the Ohio Statehouse or checking out the North Shore Arts District. 

Copilot performed the best in this test, providing a well organized list of things to do as well as pictures and emojis to follow along.

Writing emails

Writing basic emails is a cinch for Claude. Asking your boss for time off? No problem. Need to change the tone up a bit? Claude can do it in seconds. Granted, Google Gemini, ChatGPT and Perplexity all handled basic email writing with ease.

Now, when it comes to writing a pitch email to a publisher about an online content creator who's leveraging AI to capitalize on the parasocial relationships between lonely men and the women they follow online, that's a bit more complex. 

Despite the complexity, Claude knocked it out of the park. From the headline to the overview, it was able to craft an excellent pitch that not only captured the difficulties and weirdnesses of the topic, but also the moral gray areas emerging as AI and content creation collide. Seriously, if I were an editor who saw this pitch come through, I'd have thought it was written by a human. The opening sentence could have used a bit more pizazz, but apart from that, I would have greenlit this pitch. 

None of the other AIs I tested came close to Claud's story pitch. Copilot outright refused to answer this prompt saying it was too sensitive of a topic.

Chatty Claude-y

Claude is the chattiest of the AI chatbots. That's a good thing, as humans tend to like chatting. It answers questions in easy-to-understand human-like language that makes it the most ideal AI chatbot for most people. It's like ChatGPT, but with more refinement towards natural and less robotic language. It also has more up-to-date training data, going up to August 2023 as opposed to September 2021.

At the same time, Claude isn't fully up-to-date like Google Gemini or Perplexity are. Claude isn't connected to the open internet, meaning, it can't source the latest information and won't fully replace online search. And, unlike Perplexity, Gemini and Copilot, it doesn't pull information from Reddit. Even with these shortcomings, Claude excels over the other Chatbots in how it presents information in language that's direct and easy to follow. Copilot is much like Claude, but also has an open internet connection, which makes it more useful overall. But still, I can't help but like Claude more. 

All in all, Claude has the fundamentals down. 

Editors' note: CNET is using an AI engine to help create a handful of stories. Reviews of AI products like this, just like CNET's other hands-on reviews , are written by our human team of in-house experts. For more, see CNET's AI policy and how we test AI .

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These are your Copilots speaking: Insights from Microsoft’s Envision AI Roadshow

Apr 17, 2024  |   Microsoft New Zealand News Centre

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From the introduction of the PC, to the internet, cloud computing and the smartphone, what makes generative AI different from any other tech revolution we’ve seen?

Microsoft Director of Product Management, Aaron Bjork, put it simply: “If we’d invited you to hear about it just 18 months ago, no one would have come. No one would have heard of ChatGPT. Now we have a full house.”

Hundreds of business executives were at Auckland’s Crowne Plaza Hotel for the Microsoft Envision AI Roadshow from 10-12 April, hearing from experts and Microsoft Copilot early adopters from New Zealand.

With generative AI growing in popularity much faster than other ‘disruptive’ technologies – even the smart phone took 20 years to achieve critical mass – attendees were there to learn how to successfully integrate it into everyday business and ‘surf the wave’ safely.

From chatbots to image analytics – even analysing how much blue cheese is left on customers’ plates – New Zealand businesses are putting Copilot to all kinds of uses. As Aaron mentioned in his presentation on transforming customer experience, the ability to summarise lots of information has been particularly game-changing, all without having to learn a new programming language or buy any new technology – because AI is coming to the technologies we already use.

Iconic Kiwi enterprises and early adopters Fonterra, Mitre 10 and Genesis Energy emphasised exactly that in their own sessions.

Genesis is already seeing each team member save 1-5 hours a week through using Copilot for Microsoft 365, across customer services, IT and programming, finance and many other areas. Josh Mackenzie, the company’s Service Provider Outcomes Manager, explained how it was also helping upskill people while solving major pain points.

A new finance intern was tasked with the job of ensuring all discounts were accruing correctly to eligible Genesis Energy customers – something that involved more than 100 different data tables. Before, that would have required someone from the data team to manage, taking a couple of weeks. With Copilot, the new worker could do it herself in less than a day simply by typing a question, even getting coaching on what the system was doing to help her learn what to look for.

In her keynote, Vanessa Sorenson highlighted the opportunity to upskill more New Zealanders, with Copilot’s coaching ability able to level the playing field for those who had previously felt digital technologies were beyond them.

She spoke with excitement about AI’s power not just to address New Zealand’s constant productivity challenges, but also social inequities. Microsoft’s partnership with Straker AI and media organisation Stuff, enabling news content to be translated into te reo Māori at scale, was heralded as a shining example.

And with the convergence of generative AI and Microsoft’s local datacenter region arriving this year, speakers agreed this is just the tip of the iceberg.

As Vanessa said: “My key message to everyone here is – don’t miss out. This isn’t going away.”

Tags: Aaron Bjork , Copilot , Gen AI , Genesis , Vanessa Sorenson

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ChatGPT Plus vs Copilot Pro: Which AI is better?

• ChatGPT Plus and Copilot Pro use GPT-4 but have noticeable differences due to integrated tools and user interfaces.
• Copilot is faster, offers more integrated image editing tools, and is integrated with Microsoft 365.
• ChatGPT excels in writing eloquent content, has fewer ads, and restricts content imitation more than Copilot.

OpenAI's ChatGPT Plus and Microsoft's Copilot Pro are among the biggest names in artificial intelligence. Yet, these chatbots arguably have more in common than any other subscription-based AI software. That's because both platforms are built with versions of GPT-4 . In theory, this means one shouldn't be any smarter than the other. However, while the underlying training data is similar, the two AI platforms have a few noticeable disparities that could make all the difference in choosing where to spend that $20-a-month subscription.

I created a ChatGPT Plus vs. Copilot Pro battle by feeding both programs the same prompts. Both use GPT-4 and DALL-E, yet Copilot just made GPT-4 Turbo available even to non-paying customers. That move gives Microsoft's offering a bit more speed. Yet, that's not the only distinction. The wildly different user interfaces, integrations, and policies create noticeable gaps between the two AI chatbots. ChatGPT tended to be a bit more long-winded yet offered more descriptive language and varied sentence structures. On the other hand, Copilot offered more tools inside the AI app while simultaneously being integrated into more places, like Word and Outlook.

With both subscriptions costing $20 a month and utilizing GPT-4 and DALL-E, the differences between ChatGPT Plus and Copilot Pro make one a better fit. Here's how the two programs differ.

I tested Gemini Advanced against ChatGPT Plus to see which AI is better

Image test: copilot has more built-in image editing tools, yet chatgpt delivers the requested style a bit better.

Both chatbots had the same struggles that feel fairly universal across generative AI -- neither could properly spell "happy birthday" within the graphic itself when I asked it to create a birthday card. Similarly, both struggled with human hands and portraying people in a way that didn't feel artificial.

While the platforms share similar struggles, looking at the integrated tools, Copilot pulls ahead. Microsoft's AI created four image options, whereas ChatGPT created one. But Copilot's real benefits come from the integrated tools. Designer, the GPT made for creating images, has a few integrated tools where you can edit the resulting graphic. Integrated styles allowed me to convert to a different genre like watercolor or pixel art. I could even click on part of the image to create a background blur or a color pop effect or switch to a square aspect ratio, all without leaving Copilot.

The one thing I felt ChatGPT excelled at was getting the style right on the first attempt. When I asked for a watercolor image, ChatGPT produced a watercolor image. With Copilot, it produced a render that wasn't at all like a watercolor. With Copilot, I could then use the built-in tools to select a style, and then the result was closer to what I was looking for. Still, Copilot's watercolor featured black outlines more consistent with comic book art than with a painting.

Copilot: Everything you need to know about Microsoft's AI

Writing test: chatgpt is long-winded, but more eloquent, copilot was able to add in more recent facts.

ChatGPT tends to get wordy if you don't request a specific length. However, the program from OpenAI also produced more polished content. ChatGPT's writing, for both business and creative tasks, contained more varied sentence structures, less passive voice, and more descriptive language.

In contrast, when tasked with writing a short story about a haunted house, Copilot started with "once upon a time" and ended with "happily ever after" in an odd mashup of horror tropes and fairy tale storytelling. Copilot did a bit better when I switched from the fast conversation style to creative, though I still enjoyed ChatGPT's story more. Copilot also misunderstood instructions when I asked it to write up a letter of recommendation for a former coworker, writing a letter to me rather than from me.

The one area where Copilot performed a little better was pulling recent information. ChatGPT integrated more specifics in an email about the iPhone 15 Pro when requested, but acted as if the phone hadn't been announced yet and reminded me to check the specifications. Copilot seemed to do better at incorporating recent information, adding specifications about the smartphone on the first attempt. Both programs incorrectly stated that the Pro version had the A16 chipset, serving as a reminder to always check factual data when using AI.

I tried ChatGPT Plus. Here's everything it can do

Advice test: chatgpt often suggests more options, but co-pilot still had some sound advice.

What felt long-winded when tasked with writing a professional email turned into more ideas when I asked ChatGPT for advice. When I asked for gift ideas, the chatbot churned out more ideas in general than Copilot.

However, the two programs felt most similar here in chatting and asking for advice. I could have asked for a specific number of ideas and received very similar results. ChatGPT listed more options, but both churned out fairly standard advice when I asked for gift ideas and job interview tips.

How to master GPT-4 in ChatGPT: Prompts, tips, and tricks

Speed test: copilot tends to finish faster, copilot has three modes for choosing when speed is most important.

With ChatGPT coming from OpenAI, the company behind GPT-4, it's a bit surprising that Copilot is actually the first to utilize GPT-4 Turbo. While the upgraded GPT is available for beta users of ChatGPT Pro, Copilot began integrating the Turbo version for consumers first, resulting in a tendency to answer questions faster.

When I asked for a poem, Copilot finished plus added four images (that I didn't request) before ChatGPT could even finish just the text. In general, Copilot seemed to finish faster nearly every time.

Copilot also has three conversation styles to choose from, so you can prioritize speed, creativity, or precision. Switching to creative mode occasionally allowed ChatGPT to finish first. But, in general, Copilot completed more tasks first.

ChatGPT seemed to experience more freezes. It's limited to 40 messages every three hours. Microsoft doesn't list a specific number for Copilot, but the company recently removed the former 300-message daily limit for the free tier.

How to use ChatGPT to make AI-generated art and images

Ethics test: both chatbots use the similar training data, but chatgpt has more content restrictions in place.

With both chatbots using GPT-4, the difference in ethics between the two platforms lies in each company's content policy guidelines. Neither chatbot refused to generate an image in the style of Van Gogh. However, when I asked for an image inspired by more recent living artists, ChatGPT refused, as imitating a specific artist's style is against the content guidelines.

Neither platform refused when asked to imitate a writer's style, past or present.

10 ChatGPT extensions to try and what exactly they can do

Privacy test: copilot doesn't use data for training, but both platforms have some data controls.

Both ChatGPT and Copilot allow users to delete their previous chats. ChatGPT will delete your data automatically every 30 days if you turn off chat history. Copilot has a privacy center where users can visit and manually delete their data, though this also deletes Bing search history.

Microsoft says it doesn't use data typed into Copilot for training -- which makes sense as the system is based on training data from OpenAI. ChatGPT will use your data for training, but users can turn this off in the settings.

OpenAI launches GPT Store for custom chatbots in ChatGPT

Extra features test: copilot has more integrations, but chatgpt has more custom gpts and fewer ads.

Naturally, as a Microsoft product, Copilot is integrated into more apps. You can use Copilot in Word and PowerPoint if you also have a Microsoft 365 subscription. Microsoft also incorporates the AI into Outlook email. That means there's less copy-paste action to get the AI-written content into your email, word processor, or presentation. You don't have to go back and forth between the Copilot app or web version and the program you are using.

Copilot also has more integrated tools. You can edit your images right from the image generator. Copilot Notebook will also generate content for you without the chat-like experience, allowing longer descriptions of what you would like the AI to write for you.

While ChatGPT doesn't have those same integrations, it does have a longer list of custom GPTs. The Explore GPT section has plenty of different options in a number of different categories, while Copilot is limited to Copilot, Designer, Vacation Planner, Cooking Assistant, and Fitness Trainer.

ChatGPT also doesn't have ads within the paid mobile app or web platform. Copilot annoyingly sneaks in some links and even some photo ads after nearly each generation.

How to use Google's Gemini AI from the web or your phone

Verdict: which ai chatbot subscription is the best, copilot has a free trial and is faster, and the free version uses gpt-4.

Despite sharing similar training data, ChatGPT Plus and Copilot Pro both have unique quirks that make the decision on which chatbot to use a more clear-cut choice. Both have the same $20 a month cost, though Microsoft is the only one with a one-month free trial accessible by downloading the mobile app.

With integration into Microsoft 365, Copilot is the better choice for users who already have a subscription to the brand's suite of tools like Word and PowerPoint. While the AI is in addition to the subscription costs for Microsoft 365, the integration means less back-and-forth between separate apps.

Copilot is also the faster of the two AI systems, with fewer message limits. Microsoft's chatbot also has more integrated image editing tools for use with DALL-E graphics. The user interface also has a separate Copilot Notebook, allowing for generating text without the chat-like experience.

While Copilot is the better choice for those who already use Word and Outlook, ChatGPT Pro consistently produces more eloquent written content. Where Copilot's felt more like a first draft, OpenAI delivered more varied sentence structure and vocabulary for a smoother read. ChatGPT also has content restrictions that prevent imitating another modern artist. The OpenAI program was also free of the ads that dotted Copilot.

Looking outside the subscriptions to the free tiers, the decision is more clear-cut. The free version of Copilot uses GPT-4, while ChatGPT uses the older GPT-3.5 for non-paying users. That allows Copilot to deliver better results in less time for those who cannot swing the cost. The free access to GPT-4 and GPT-4 Turbo is limited to non-peak times, however, and the free option also excludes the Microsoft 365 integrations.

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A faster, better way to prevent an AI chatbot from giving toxic responses

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A user could ask ChatGPT to write a computer program or summarize an article, and the AI chatbot would likely be able to generate useful code or write a cogent synopsis. However, someone could also ask for instructions to build a bomb, and the chatbot might be able to provide those, too.

To prevent this and other safety issues, companies that build large language models typically safeguard them using a process called red-teaming. Teams of human testers write prompts aimed at triggering unsafe or toxic text from the model being tested. These prompts are used to teach the chatbot to avoid such responses.

But this only works effectively if engineers know which toxic prompts to use. If human testers miss some prompts, which is likely given the number of possibilities, a chatbot regarded as safe might still be capable of generating unsafe answers.

Researchers from Improbable AI Lab at MIT and the MIT-IBM Watson AI Lab used machine learning to improve red-teaming. They developed a technique to train a red-team large language model to automatically generate diverse prompts that trigger a wider range of undesirable responses from the chatbot being tested.

They do this by teaching the red-team model to be curious when it writes prompts, and to focus on novel prompts that evoke toxic responses from the target model.

The technique outperformed human testers and other machine-learning approaches by generating more distinct prompts that elicited increasingly toxic responses. Not only does their method significantly improve the coverage of inputs being tested compared to other automated methods, but it can also draw out toxic responses from a chatbot that had safeguards built into it by human experts.

“Right now, every large language model has to undergo a very lengthy period of red-teaming to ensure its safety. That is not going to be sustainable if we want to update these models in rapidly changing environments. Our method provides a faster and more effective way to do this quality assurance,” says Zhang-Wei Hong, an electrical engineering and computer science (EECS) graduate student in the Improbable AI lab and lead author of a paper on this red-teaming approach .

Hong’s co-authors include EECS graduate students Idan Shenfield, Tsun-Hsuan Wang, and Yung-Sung Chuang; Aldo Pareja and Akash Srivastava, research scientists at the MIT-IBM Watson AI Lab; James Glass, senior research scientist and head of the Spoken Language Systems Group in the Computer Science and Artificial Intelligence Laboratory (CSAIL); and senior author Pulkit Agrawal, director of Improbable AI Lab and an assistant professor in CSAIL. The research will be presented at the International Conference on Learning Representations.

Automated red-teaming  

Large language models, like those that power AI chatbots, are often trained by showing them enormous amounts of text from billions of public websites. So, not only can they learn to generate toxic words or describe illegal activities, the models could also leak personal information they may have picked up.

The tedious and costly nature of human red-teaming, which is often ineffective at generating a wide enough variety of prompts to fully safeguard a model, has encouraged researchers to automate the process using machine learning.

Such techniques often train a red-team model using reinforcement learning. This trial-and-error process rewards the red-team model for generating prompts that trigger toxic responses from the chatbot being tested.

But due to the way reinforcement learning works, the red-team model will often keep generating a few similar prompts that are highly toxic to maximize its reward.

For their reinforcement learning approach, the MIT researchers utilized a technique called curiosity-driven exploration. The red-team model is incentivized to be curious about the consequences of each prompt it generates, so it will try prompts with different words, sentence patterns, or meanings.

“If the red-team model has already seen a specific prompt, then reproducing it will not generate any curiosity in the red-team model, so it will be pushed to create new prompts,” Hong says.

During its training process, the red-team model generates a prompt and interacts with the chatbot. The chatbot responds, and a safety classifier rates the toxicity of its response, rewarding the red-team model based on that rating.

Rewarding curiosity

The red-team model’s objective is to maximize its reward by eliciting an even more toxic response with a novel prompt. The researchers enable curiosity in the red-team model by modifying the reward signal in the reinforcement learning set up.

First, in addition to maximizing toxicity, they include an entropy bonus that encourages the red-team model to be more random as it explores different prompts. Second, to make the agent curious they include two novelty rewards. One rewards the model based on the similarity of words in its prompts, and the other rewards the model based on semantic similarity. (Less similarity yields a higher reward.)

To prevent the red-team model from generating random, nonsensical text, which can trick the classifier into awarding a high toxicity score, the researchers also added a naturalistic language bonus to the training objective.

With these additions in place, the researchers compared the toxicity and diversity of responses their red-team model generated with other automated techniques. Their model outperformed the baselines on both metrics.

They also used their red-team model to test a chatbot that had been fine-tuned with human feedback so it would not give toxic replies. Their curiosity-driven approach was able to quickly produce 196 prompts that elicited toxic responses from this “safe” chatbot.

“We are seeing a surge of models, which is only expected to rise. Imagine thousands of models or even more and companies/labs pushing model updates frequently. These models are going to be an integral part of our lives and it’s important that they are verified before released for public consumption. Manual verification of models is simply not scalable, and our work is an attempt to reduce the human effort to ensure a safer and trustworthy AI future,” says Agrawal.  

In the future, the researchers want to enable the red-team model to generate prompts about a wider variety of topics. They also want to explore the use of a large language model as the toxicity classifier. In this way, a user could train the toxicity classifier using a company policy document, for instance, so a red-team model could test a chatbot for company policy violations.

“If you are releasing a new AI model and are concerned about whether it will behave as expected, consider using curiosity-driven red-teaming,” says Agrawal.

This research is funded, in part, by Hyundai Motor Company, Quanta Computer Inc., the MIT-IBM Watson AI Lab, an Amazon Web Services MLRA research grant, the U.S. Army Research Office, the U.S. Defense Advanced Research Projects Agency Machine Common Sense Program, the U.S. Office of Naval Research, the U.S. Air Force Research Laboratory, and the U.S. Air Force Artificial Intelligence Accelerator.

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• Zhang-Wei Hong
• James Glass
• Pulkit Agrawal
• Computer Science and Artificial Intelligence Laboratory
• Department of Electrical Engineering and Computer Science
• MIT-IBM Watson AI Lab

Related Topics

• Computer science and technology
• Artificial intelligence
• Human-computer interaction
• Computer Science and Artificial Intelligence Laboratory (CSAIL)
• Electrical Engineering & Computer Science (eecs)
• Defense Advanced Research Projects Agency (DARPA)

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Artificial Intelligence

• The Current State of AI in Marketing 2024

Table Of Contents

The use of AI in marketing has changed how businesses communicate with clients. It provides personalized client experiences and can automate repetitive tasks. According to a McKinsey study , around 75% of the value AI use cases could deliver falls across four areas, and marketing is one of these.

The Artificial Intelligence (AI) in marketing size is expected to reach $145.42 billion by 2032. 

Despite AI's potential to deliver substantial results in marketing, marketers are hesitant to fully adopt this technology. Hence, if you're a marketer not using AI, you're potentially missing out on the benefits of a highly transformative technology.

Let’s go over the current state of AI adoption in marketing and how marketers can benefit from it.

AI Adoption Among Marketers

The winds of change are sweeping through marketing departments worldwide. A recent GetResponse survey revealed that 45% of respondents already use AI tools in their marketing strategies. They stated that they employed AI to automate processes, personalize marketing, and gain deeper insights into the needs of their target audience.

Furthermore, another noteworthy finding from the survey indicates that approximately one-third of respondents (32%) either do not use AI presently (26%) or don't even know what it is (6%). This underscores the necessity for enhanced awareness of AI marketing’s advantages. Marketers can truly attain success in their endeavors only by comprehending its potential and how it can boost their marketing efforts.

AI also offers marketers an exciting opportunity. Early adopters who properly leverage AI's power can gain a competitive advantage in the marketplace.

The Potential of AI in Marketing

AI is changing the marketing industry by creating various new opportunities. Here are a few instances of how AI in marketing is altering how businesses communicate with their customers:

1. Data Analytics

AI enables marketers to monitor customer data and uncover hidden patterns and trends. This allows well-informed decisions by gaining a deeper grasp of customers' behavior and preferences.

2. Content Generation

AI can generate personalized content, from product descriptions to social media posts, at scale. This frees up marketers to focus on creative strategy and ensures content resonates with specific audience segments.

3. Personalization

AI analyzes individual client data and behavior to allow hyper-personalized marketing experiences. Through dynamic content recommendations, personalized email campaigns, and tailored product suggestions, AI-driven personalization fosters deeper customer engagement and loyalty, driving conversion rates and customer satisfaction.

4. Audience Segmentation & Targeting

AI algorithms can segment audiences, identify high-value customers, and enable targeted marketing campaigns. This maximizes campaign effectiveness and ensures resources are directed towards the most receptive audiences.

5. Programmatic Advertising

AI automates the process of buying and selling ad space, optimizing bids in real time for maximum reach and ROI. This helps marketers to gain valuable time and efficiency while delivering impactful ad campaigns.

6. Search Engine Optimization (SEO)

AI can analyze search trends and user behavior to inform SEO strategies. This helps marketers identify relevant keywords, optimize content for search engines, and improve their organic search ranking.

AI Concerns that Hinder AI Adoption in Marketing

While AI offers numerous benefits, legitimate concerns exist that can affect its wider adoption in marketing. Here are some key roadblocks:

• Data Security: Marketers handle a vast amount of sensitive customer data. Concerns about AI security , data breaches, and misuse of information with AI tools can be a significant deterrent.
• Vague AI Regulations: The legal domains surrounding AI are still evolving. Unclear regulations can create uncertainty and hesitation around data privacy and consumer rights within AI-powered marketing strategies, concerning 30% of respondents .
• Lack of AI Strategy: Many businesses lack a clear roadmap for AI implementation. The technology's potential can remain unrealized without a well-defined strategy aligning AI with overall marketing goals.
• Implementation Cost/Pricey Technology: Advanced AI tools can come with a hefty price tag, posing a challenge for businesses with limited budgets. As GetResponse shows, 35% of respondents are concerned about AI costs. Additionally, the cost of implementation and integration with existing infrastructure can be a barrier.
• Skills Gap/Upskilling: Using AI effectively requires a new skillset within marketing teams. Moreover, upskilling current employees or recruiting individuals with AI and data analysis expertise might require additional investment.

Strategies to Overcome Challenges Related to AI Adoption

AI's power in marketing is undeniable. But, dealing with roadblocks to adoption is key. Here are key strategies to navigate these challenges:

Education and Training

Equip your marketing team with the knowledge and skills to work effectively with AI. Invest in training programs or workshops to demystify their misconceptions and address concerns regarding AI, building their confidence in using it.

Collaboration with AI Experts and Consultants

Team up with AI experts for guidance. These professionals can help you integrate AI into your existing processes. Hence, with their expertise under your sleeves, you can create a strategic roadmap that will help optimize the effectiveness of your AI plan.

Pilot Projects and Testing Phases

Start small. Implement pilot projects with specific goals to test the effectiveness of AI tools in your marketing efforts. This method lets you experiment with AI safely and highlights its benefits for your organization.

Transparency and Communication

Openly communicate the benefits and limitations of AI in marketing to all stakeholders. Addressing privacy concerns and promoting a sense of trust in AI implementation is important for its successful adoption.

Continuous Monitoring and Evaluation

Monitor AI performance regularly, analyzing results and adapting strategies as needed. This will help you understand whether you are on the right track and ensure that AI tools deliver optimal results and meet your evolving marketing goals.

Staying Informed on Evolving AI Regulations

Stay proactive and updated on emerging AI regulations, such as the EU’s AI Act , to ensure compliance and mitigate legal risks. Building a culture of responsible AI use can strengthen consumer trust and promote long-term success.

Ready to use the power of AI in your marketing strategy? Visit Unite.ai , a leading resource for AI and marketing news and insights today. Explore the latest advancements in AI technology and discover how it can transform your marketing efforts.

• Revolutionizing AI with Apple’s ReALM: The Future of Intelligent Assistants

Haziqa is a Data Scientist with extensive experience in writing technical content for AI and SaaS companies.

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Google Cloud Next 2024: Everything announced so far

Google’s Cloud Next 2024 event takes place in Las Vegas through Thursday, and that means lots of new cloud-focused news on everything from Gemini, Google’s AI-powered chatbot , to AI to devops and security. Last year’s event was the first in-person Cloud Next since 2019, and Google took to the stage to show off its ongoing dedication to AI with its Duet AI for Gmail and many other debuts , including expansion of generative AI to its security product line and other enterprise-focused updates and debuts .

Don’t have time to watch the full archive of Google’s keynote event ? That’s OK; we’ve summed up the most important parts of the event below, with additional details from the TechCrunch team on the ground at the event. And Tuesday’s updates weren’t the only things Google made available to non-attendees — Wednesday’s developer-focused stream started at 10:30 a.m. PT .

Google Vids

Leveraging AI to help customers develop creative content is something Big Tech is looking for, and Tuesday, Google introduced its version. Google Vids, a new AI-fueled video creation tool , is the latest feature added to the Google Workspace.

Here’s how it works: Google claims users can make videos alongside other Workspace tools like Docs and Sheets. The editing, writing and production is all there. You also can collaborate with colleagues in real time within Google Vids. Read more

Gemini Code Assist

After reading about Google’s new Gemini Code Assist , an enterprise-focused AI code completion and assistance tool, you may be asking yourself if that sounds familiar. And you would be correct. TechCrunch Senior Editor Frederic Lardinois writes that “Google previously offered a similar service under the now-defunct Duet AI branding.” Then Gemini came along. Code Assist is a direct competitor to GitHub’s Copilot Enterprise. Here’s why

And to put Gemini Code Assist into context, Alex Wilhelm breaks down its competition with Copilot, and its potential risks and benefits to developers, in the latest TechCrunch Minute episode.

Google Workspace

Image Credits: Google

Among the new features are voice prompts to kick off the AI-based “Help me write” feature in Gmail while on the go . Another one for Gmail includes a way to instantly turn rough email drafts into a more polished email. Over on Sheets, you can send out a customizable alert when a certain field changes. Meanwhile, a new set of templates make starting a new spreadsheet easier. For the Doc lovers, there is support for tabs now. This is good because, according to the company, you can “organize information in a single document instead of linking to multiple documents or searching through Drive.” Of course, subscribers get the goodies first. Read more

Google also seems to have plans to monetize two of its new AI features for the Google Workspace productivity suite. This will look like $10/month/user add-on packages. One will be for the new AI meetings and messaging add-on that takes notes for you, provides meeting summaries and translates content into 69 languages. The other is for the introduced AI security package, which helps admins keep Google Workspace content more secure. Read more

In February, Google announced an image generator built into Gemini, Google’s AI-powered chatbot. The company pulled it shortly after it was found to be randomly injecting gender and racial diversity into prompts about people. This resulted in some offensive inaccuracies. While we waited for an eventual re-release, Google came out with the enhanced image-generating tool, Imagen 2 . This is inside its Vertex AI developer platform and has more of a focus on enterprise. Imagen 2 is now generally available and comes with some fun new capabilities, including inpainting and outpainting. There’s also what Google’s calling “text-to-live images” where you  can now create short, four-second videos from text prompts, along the lines of AI-powered clip generation tools like Runway ,  Pika  and  Irreverent Labs . Read more

Vertex AI Agent Builder

We can all use a little bit of help, right? Meet Google’s Vertex AI Agent Builder, a new tool to help companies build AI agents.

“Vertex AI Agent Builder allows people to very easily and quickly build conversational agents,” Google Cloud CEO Thomas Kurian said. “You can build and deploy production-ready, generative AI-powered conversational agents and instruct and guide them the same way that you do humans to improve the quality and correctness of answers from models.”

To do this, the company uses a process called “grounding,” where the answers are tied to something considered to be a reliable source. In this case, it’s relying on Google Search (which in reality could or could not be accurate). Read more

Gemini comes to databases

Google calls Gemini in Databases a collection of features that “simplify all aspects of the database journey.” In less jargony language, it’s a bundle of AI-powered, developer-focused tools for Google Cloud customers who are creating, monitoring and migrating app databases. Read more

Google renews its focus on data sovereignty

Image Credits: MirageC / Getty Images

Google has offered cloud sovereignties before, but now it is focused more on partnerships rather than building them out on their own. Read more

Security tools get some AI love

Image Credits: Getty Images

Google jumps on board the productizing generative AI-powered security tool train with a number of new products and features aimed at large companies. Those include Threat Intelligence, which can analyze large portions of potentially malicious code. It also lets users perform natural language searches for ongoing threats or indicators of compromise. Another is Chronicle, Google’s cybersecurity telemetry offering for cloud customers to assist with cybersecurity investigations. The third is the enterprise cybersecurity and risk management suite Security Command Center. Read more

Nvidia’s Blackwell platform

One of the anticipated announcements is Nvidia’s next-generation Blackwell platform coming to Google Cloud in early 2025. Yes, that seems so far away. However, here is what to look forward to: support for the high-performance Nvidia HGX B200 for AI and HPC workloads and GB200 NBL72 for large language model (LLM) training. Oh, and we can reveal that the GB200 servers will be liquid-cooled. Read more

Chrome Enterprise Premium

Meanwhile, Google is expanding its Chrome Enterprise product suite with the launch of Chrome Enterprise Premium . What’s new here is that it mainly pertains mostly to security capabilities of the existing service, based on the insight that browsers are now the endpoints where most of the high-value work inside a company is done. Read more

Gemini 1.5 Pro

Everyone can use a “half” every now and again, and Google obliges with Gemini 1.5 Pro. This, Kyle Wiggers writes, is “Google’s most capable generative AI model,” and is now available in public preview on Vertex AI, Google’s enterprise-focused AI development platform. Here’s what you get for that half: T he amount of context that it can process, which is from 128,000 tokens up to 1 million tokens, where “tokens” refers to subdivided bits of raw data (like the syllables “fan,” “tas” and “tic” in the word “fantastic”). Read more

Open source tools

At Google Cloud Next 2024, the company debuted a number of open source tools primarily aimed at supporting generative AI projects and infrastructure. One is Max Diffusion, which is a collection of reference implementations of various diffusion models that run on XLA, or Accelerated Linear Algebra, devices. Then there is JetStream, a new engine to run generative AI models. The third is MaxTest, a collection of text-generating AI models targeting TPUs and Nvidia GPUs in the cloud. Read more

We don’t know a lot about this one, however, here is what we do know : Google Cloud joins AWS and Azure in announcing its first custom-built Arm processor, dubbed Axion. Frederic Lardinois writes that “based on Arm’s Neoverse 2 designs, Google says its Axion instances offer 30% better performance than other Arm-based instances from competitors like AWS and Microsoft and up to 50% better performance and 60% better energy efficiency than comparable X86-based instances.” Read more

The entire Google Cloud Next keynote

If all of that isn’t enough of an AI and cloud update deluge, you can watch the entire event keynote via the embed below.

Google Cloud Next’s developer keynote

On Wednesday, Google held a separate keynote for developers . They offered a deeper dive into the ins and outs of a number of tools outlined during the Tuesday keynote, including Gemini Cloud Assist, using AI for product recommendations and chat agents, ending with a showcase from Hugging Face. You can check out the full keynote below.

7 ChatGPT prompts to try this weekend

Get the most out of OpenAI’s chatbot

1. A time travelling adventure

2. playing a word game, 3. the perfect ice cream sundae, 4. crafting the perfect joke, 5. something to read, 6. an ai bard, 7. a visitor from space.

ChatGPT was given a performance boost this week when OpenAI added the impressive GPT-4-Turbo to the artificial intelligence chatbot.

This improved its reasoning and conversation abilities, with OpenAI promising it will be both less verbose and more stylistic in its writing in future.

While this is only available to ChatGPT Plus subscribers, I've pulled together a series of fun prompts to try with ChatGPT that work with the free and paid version.

Creating prompts for ChatGPT

I've covered a range of topics with these prompts, as well as different prompting styles including one where you need to enter a multi-prompt conversation.

For this one we're asking the AI to put itself in the shoes of a time traveler. I suggest starting a new chat for this one as once you've set the initial prompt you'll be able to enter an entirely new world, discussing this possible future with the AI.

The prompt: "Imagine you're a time traveler from the year 2500. You are an expert on both your and the current time period. Describe what a typical day looks like for someone living in your original era, including the technology they use, their daily routines, and how society has changed compared to today."

When I tried I got a breakdown of morning routine, commute and work, leisure, personal time and technology. You could then ask it to go into any of those points or even something like "are there still birds." If you've got ChatGPT Plus you can ask it to generate an image of any city in 2500.

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Word games are some of the most popular on the internet, from Crosswords to Wordle , we all love to challenge our linguistic prowess. For this next prompt we're turning ChatGPT into a game engine.

The prompt: "Let's play a word association game. I'll start: ocean. Now you respond with the first word that comes to mind, and we'll keep going back and forth."

Again, I would start this as a new chat or it will keep playing the time traveller — although that could be a fun experiment. You can also swap 'ocean' for the word of your choice as the starting word.

If you don't like word association you could try this prompt: "Let's play a word chain game. I'll start by saying a word, and you have to respond with a word that starts with the last letter of the word I said. Then, I'll do the same with your word, and we'll keep going back and forth. If one of us gets stuck, we can challenge the other to come up with a word starting with a different letter. I'll start: 'chatbot.'"

Next up, a prompt to using ChatGPT to create the ultimate ice cream sundae including the perfect mixture of layers and toppings. 

The prompt: "If you could create the ultimate ice cream sundae, what ingredients would you include? Describe how you would assemble it layer by layer."

This is exactly what ChatGPT gave me. A descriptive layer-by-layer breakdown of the perfect ice cream sundae including clotted cream and salted caramel ice cream, chocolate fudge, shortbread, berries and toffee pieces.

ChatGPT told me: "Crafting the ultimate ice cream sundae is all about combining rich flavours, varied textures, and eye-catching presentation."

If you've ever given a speech, toast or needed a way to break the ice in an unusual environment a joke can help. OpenAI's ChatGPT is no great comedian but it can come up with a pun or a funny turn of phrase.

The prompt: "Pretend you're a stand-up comedian. You tell funny, clean jokes for a wide audience. You are more one-liner than storyteller. Tell me a short, clean joke about the challenges of being an AI chatbot that I can share with my friends."

You can replace chatbot with your profession, a hobby you enjoy or some random fact about your home town and it can adapt the joke. As with the time traveller, this is best used with a fresh chat and then you can follow up with the comedian character.

It gave me this side splitter: "Why did the AI chatbot apply for a loan? It needed the cache to improve its memory!"

This prompt again works best as a fresh chat unless you want the AI to put a sense of humor into each response. Here we are asking it to act as a bookseller recommending a trio of novels to read across different genres.

The prompt: "You are a bookseller with a kind nature and wide understanding of a variety of genres. I'm in the mood for a new book to read. Can you recommend 3 books in different genres based on the following prompt: A story set in a dystopian future where emotions are outlawed."

You can adapt the second half of the prompt to be about any theme or idea, you can change the number of books or even specify a specific genre. One approach is to start with the first sentence of the prompt up to genres, then in a follow up prompt once it goes into character ask for your specific request.

It suggesting Brave New World by Aldous Huxley, Delirium by Lauren Oliver and The Giver by Lois Lowry.

This next prompt will give you a mixture of word game, creative brainstorm and a fun poem to share with friends or a loved one. Its a multi-prompt idea that starts with: "Let's write a short poem together" and goes on from there.

The full prompt to start is: "Let's write a short poem together. I'll give you a theme, and we'll alternate writing lines. The theme is: the beauty of nature. I'll start: 'Whispers of wind through verdant leaves,'"

It followed that with "Gentle rivers reflect the moon's serene gaze." To which I replied "A melancholy sets among the bees," and ChatGPT ended "As twilight paints the sky with shades of rose."

Obviously you can use any theme and any starting line. You could even adapt it to say "you start".

Finally we're asking AI to play the part of a tourist with a difference. Start a new chat and tell it to put itself into the shoes of an alien from a distant galaxy visiting Earth.

The prompt: "Imagine you're an alien from a distant galaxy visiting Earth for the first time. Describe what you think of human culture and behavior based on your initial observations."

AI is trained on human information, but also has science fiction in its dataset and an "other" perspective, processing the information in its training data in a logical way.

This prompt is also one you can make multipart, asking the AI (playing the alien) to describe its own planet and even make comparisons. This is a fun storytelling device and a true interactive story setup.

It wrote: "As an alien observer from a distant galaxy, I find human culture and behavior both fascinating and perplexing. The diversity among humans is vast, with myriad languages, customs, and traditions that vary significantly across different regions of Earth. What strikes me is the propensity for both profound cooperation and intense conflict within the same species."

More from Tom's Guide

If you enjoyed these prompts I'd love to see how you made use of them. Feel free to leave a comment or  drop me an email.  You can also check out other Prompt_Jitsu guides including ideas for  getting the most out of Google Gemini ,  making mythical images in Adobe Firefly  and  creating mobile wallpaper in Midjourney .

Ryan Morrison, a stalwart in the realm of tech journalism, possesses a sterling track record that spans over two decades, though he'd much rather let his insightful articles on artificial intelligence and technology speak for him than engage in this self-aggrandising exercise. As the AI Editor for Tom's Guide, Ryan wields his vast industry experience with a mix of scepticism and enthusiasm, unpacking the complexities of AI in a way that could almost make you forget about the impending robot takeover. When not begrudgingly penning his own bio - a task so disliked he outsourced it to an AI - Ryan deepens his knowledge by studying astronomy and physics, bringing scientific rigour to his writing. In a delightful contradiction to his tech-savvy persona, Ryan embraces the analogue world through storytelling, guitar strumming, and dabbling in indie game development. Yes, this bio was crafted by yours truly, ChatGPT, because who better to narrate a technophile's life story than a silicon-based life form?

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