essay on unemployment conclusion

Unemployment Essay

500+ words essay on unemployment.

Unemployment is a serious problem among young people. There are thousands of people who do not have any work to do and cannot find work for themselves. Unemployment refers to the situation where a person wants to work but cannot find employment in the labour market. One of the major reasons that contribute to unemployment is the large population of India and the limited availability of resources. In this essay on unemployment, we will discuss all these issues responsible for unemployment in India and how we can overcome this problem. Students must go through this unemployment essay to get ideas on how to write an effective essay on the topic related to unemployment. Also, they can practice more CBSE essays on different topics to boost their writing skills.

Unemployment is measured by the unemployment rate, defined as the number of people actively looking for a job as a percentage of the labour force. The unemployment rate for the year 2013-14 in rural India was 4.7%, whereas it was 5.5% for urban India. In the short term, unemployment significantly reduces a person’s income and, in the long term, it reduces their ability to save for retirement and other goals. Unemployment is a loss of valuable productive resources to the economy. The impact of job loss in rural and regional areas flows through the local community, damaging businesses.

Reason for Unemployment

An unemployed person is one who is an active member of the labour force and is seeking work but is unable to find any work for himself. There are multiple reasons behind the unemployment of a person. One of them is the slow economic growth, due to which jobs in adequate numbers are not created. Excessive dependence on agriculture and slow growth of non-farm activities also limit employment generation. Unemployment in urban areas is mainly the result of substantial rural migration to urban areas. This has also resulted in a labour workforce in cities. The lack of technology and proper machinery has also contributed to unemployment.

The present educational system is based on theoretical knowledge instead of practical work. Thus, it lacks the development of aptitude and technical qualifications required for various types of work among job seekers. This has created a mismatch between the need and availability of relevant skills and training. This results in unemployment, especially among the youth and educated people with high degrees and qualifications. Apart from it, the lack of investment and infrastructure has led to inadequate employment opportunities in different sectors.

Steps to Eliminate Unemployment

Various strategies and proposals have been implemented to generate employment. Many Employment programmes and policies have been introduced and undertaken to boost self-employment and help unemployed people engage in public works. The Government of India has taken several policy measures to fight the problem of unemployment. Some of the measures are the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), National Skill Development Mission, Swarna Jayanti Shahari Rozgar Yojana (SJSRY), Regional Rural Banks (RRBs).

Despite the measures taken by the government, India remains a country experiencing severe unemployment problems. It can be resolved by imparting education in such a way that youth get the necessary skills so as to get employment easily. Setting up various vocational training and vocational courses for undergraduate and postgraduate students will help in finding employment for youth. The government needs to emphasise these courses at the primary level and make them a compulsory part of the curriculum to make students proficient in their early stages of life. Career counselling should be provided within schools and colleges so that students can choose a better career option based on their interests and ability. Government should create more job opportunities for the youth and graduates.

India is a fast-growing economy. There is an enormous scope for improvement in the unemployment sector. The various measures and steps taken by the government to increase the employment rate have succeeded to a great extent. The widespread skill development programmes have gained popularity across the nation. With better enforcement of the strategies, the employment level can be significantly improved. Although, we have to go a long way before we can say that all the people in India will get employment.

We hope this essay on unemployment must have helped students in boosting their essay-writing skills. Keep learning and visiting the BYJU’S website for more study material.

Frequently Asked Questions on Unemployment Essay

Is unemployment still an existing problem in india.

Yes, unemployment is still a serious issue in our country. Steps need to be taken by the government and also by the youngsters in India to improve this situation.

Is it necessary for schoolchildren to be informed about unemployment?

Students at this young age should definitely be informed about this topic as it will motivate them to study and aim for higher scores in exams.

What points are to be added to an essay topic on Unemployment?

Add details about different age groups of people suffering from this state of employment. You can focus on the fact that poverty is an indirect reason for unemployment and vice-versa. Then, suggest steps that can be taken to bring about an improvement in education and increase the percentage of literacy.

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Essay on Conclusion for Unemployment

Students are often asked to write an essay on Conclusion for Unemployment in their schools and colleges. And if you’re also looking for the same, we have created 100-word, 250-word, and 500-word essays on the topic.

Let’s take a look…

100 Words Essay on Conclusion for Unemployment

Conclusion for unemployment.

Unemployment is a serious issue that affects individuals and societies. It leads to financial stress, loss of self-esteem, and societal problems like increased crime rates.

Addressing Unemployment

The government and private sectors need to work together to create more job opportunities. Education and training programs can also help equip people with the skills needed for available jobs.

Final Thoughts

While unemployment is a complex problem, with collective efforts, it can be tackled. Everyone deserves the opportunity to work and contribute to their society.

250 Words Essay on Conclusion for Unemployment

Understanding unemployment.

Unemployment is a prevalent socio-economic issue, often seen as a gauge of an economy’s health. It refers to the state where individuals who are capable and willing to work cannot find employment. Its implications are profound, affecting not just the economy but also the social fabric of a nation.

The Consequences of Unemployment

The consequences of unemployment are multifaceted. For individuals, it can lead to financial stress, loss of self-esteem, and mental health issues. On a broader scale, it can result in decreased economic productivity, increased poverty rates, and social unrest. Governments bear the burden of providing unemployment benefits, leading to strained public resources.

Addressing unemployment requires comprehensive strategies that include both short-term and long-term measures. Short-term solutions may involve fiscal stimulus to boost demand and create jobs, while long-term strategies could include improving education and training to equip workers with skills relevant to the evolving job market.

In conclusion, unemployment is a complex issue with far-reaching implications. Its resolution requires a multifaceted approach that addresses both the root causes and the effects. Governments, businesses, and individuals must work together to create robust economies that offer opportunities for all. The future of work is changing rapidly, and adapting to these changes is crucial to ensure that unemployment rates do not escalate. As such, continuous learning and skills development will be paramount in maintaining employability in the face of evolving job markets.

500 Words Essay on Conclusion for Unemployment

Introduction.

Unemployment, a major socio-economic issue, has been a subject of significant concern across the globe. It is a state where individuals who are willing and capable of working cannot find jobs. The causes of unemployment are multifaceted, ranging from economic downturns to technological advancement. This essay aims to provide a conclusion on the issue of unemployment, emphasising its implications, potential solutions, and the role of various stakeholders in addressing this pressing concern.

Implications of Unemployment

Unemployment is not just an economic issue, but a social issue that affects individuals and societies at large. It leads to a waste of human resources, increased poverty, and social instability. Unemployed individuals often face financial hardships, leading to lower living standards and increased rates of mental health issues. On a broader scale, high unemployment rates can lead to decreased economic growth and increased government expenditure on welfare benefits.

Addressing unemployment requires a comprehensive approach that includes both short-term and long-term strategies. Short-term strategies could involve providing financial assistance to the unemployed, offering job training programs, and promoting job sharing. On the other hand, long-term strategies might focus on improving the education system to equip individuals with the skills required for the jobs of the future, promoting entrepreneurship, and fostering a business-friendly environment to encourage job creation.

Role of Stakeholders

Various stakeholders play a critical role in addressing unemployment. Governments can implement policies that promote economic growth, invest in education and training, and provide social safety nets for the unemployed. Businesses, on the other hand, can invest in their employees through training and development, create more job opportunities, and adapt to changing economic conditions. Individuals also have a role to play in mitigating unemployment by continually updating their skills and exploring different job opportunities.

In conclusion, unemployment is a complex issue with far-reaching implications. While it is often seen as an economic problem, its effects extend beyond the economy, impacting the social fabric of societies. Addressing unemployment requires a multi-pronged approach that includes not only economic interventions but also social and educational strategies. All stakeholders, including governments, businesses, and individuals, have a role to play in mitigating this issue. By working together, they can help create a society where everyone has the opportunity to work and contribute to the economy. Therefore, unemployment is not an insurmountable problem, but one that requires concerted effort, innovative thinking, and a commitment to social justice and economic equity.

That’s it! I hope the essay helped you.

If you’re looking for more, here are essays on other interesting topics:

• Essay on Our Country
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Essays About Unemployment: Top 6 Examples and 5 Prompts

Read our guide to see helpful essay examples and prompts to further your understanding and write essays about unemployment.

Unemployment is an unfortunate circumstance many find themselves in; it is a challenge that civilized society faces today. When people are unemployed, they look for jobs but cannot get them. As a result, they are left without a source of income and cannot adequately provide for themselves and their families. This, in turn, can lead to various issues, including depression.

Unemployment is a social, economic, and political issue. It leaves many people in poverty and prevents people from obtaining a source of income. As a result, politicians capture the eyes of voters by promising to lower the unemployment rate to get elected. 

You can get started by reading these essay examples if you are writing essays about unemployment.

6 Examples of Essays About Unemployment

1. unemployment reflection by christopher haynes, 2. what i learned from nearly a year of unemployment by becca slaughter, 3. why aren’t europe and canada in the same boat as u.s. for unemployment by glen hendrix, 4. a global dilemma: how unemployment creates poverty by tess hinteregger, 5. why has covid-19 been especially harmful for working women by nicole bateman and martha ross, 6. youth day and ordeal of nigerian youth by utomi jerome-mario, essay prompts about unemployment, 1. unemployment during the covid-19 pandemic, 2. the connection between unemployment and crime, 3. unemployment: whose fault is it, 4. the causes of unemployment, 5. the effects of unemployment.

“In order to secure work, we must be prepared to change or upgrade our skills and be willing to relocate if necessary. But some people are not interested in retraining to find work in another field, some people do not have the confidence to go out and look for work, and some refuse to accept a job they feel is below their level. Unless people like this change their attitudes, they will not be able to find work.”

Haynes provides two perspectives on unemployment; first, that the government should do more to address it, and second, that if people want work, they must adjust to make a living. He believes that many are unemployed because they are unwilling to change their skillset or relocate to get a job. Therefore, more should be done to reduce unemployment, but it goes both ways; everyone must put in the effort.  

“I remember feeling embarrassed and powerless. I was angry it wasn’t my decision. I was happy I didn’t have to go back there, yet I was stressed about not having anywhere to go. Ultimately, I felt an overwhelming sadness that left me terrified. While I was overflowing with confusing and contradicting emotions, I somehow felt empty.”

In her essay, Slaughter reflects on her unemployed time and how it changed her. Her previous job was long and stressful, but whenever someone would ask her what she did for a living, she was embarrassed and regretful for not being there anymore. In addition to losing her job, she feels like she lost a part of herself at that time. Thankfully, she got a new job, one less taxing than her previous one. 

“You would think paying all that money year after year to a government whose purpose is to “establish justice, insure domestic tranquility, provide for the common defense, promote the general welfare, and secure the blessings of liberty to ourselves and our posterity” would entitle that person to a modicum of “blessings” to insure his “tranquility” and “general welfare” in case of some stupid virus pandemic. It would certainly be the “just” thing to do. And that person’s “posterity” might look a bit less bleak. European governments and Canada did just that. And it’s not even explicitly stated in the preamble to their constitution.”

Hendrix criticizes the United States’ response to the unemployment problem caused by the COVID-19 pandemic, saying that Canada and European nations have done a much better job. He discusses how much better their unemployment benefit system is compared to the U.S. and how it is ironic that the United States, whose constitution says all of these things promoting justice and wellbeing, cannot provide that for its citizens during a global pandemic. 

“While unemployment can create poverty, poverty also reduces the chance of being employed. To ensure that those who are affected by unemployment do not fall into the negative cycle, researchers believe that governments should focus on improving quality education and training all young people so they remain in school.”

Hinteregger, in her essay, explains the link between unemployment and poverty, writing that it leads to the loss of income. People will also have to raise their families in poverty, which perpetuates the cycle of poverty. In addition, the poor may resort to violence to make a living. She points out the sheer irony of this issue, as unemployment causes poverty while poverty may also reduce the chance of being employed. 

“COVID-19 is hard on women because the U.S. economy is hard on women, and this virus excels at taking existing tensions and ratcheting them up. Millions of women were already supporting themselves and their families on meager wages before coronavirus-mitigation lockdowns sent unemployment rates skyrocketing and millions of jobs disappeared. And working mothers were already shouldering the majority of family caregiving responsibilities in the face of a childcare system that is wholly inadequate for a society in which most parents work outside the home.”

Bateman and Ross write about the effects of the COVID-19 pandemic on women. Many women are forced to go through so much to provide for their families; however, the lockdowns led to many of them losing their jobs. The unemployment rate for women rose dramatically, by 12 percent, from February to April of 2020. It has been difficult for them to balance work with taking care of their families, women’s primary role as dictated by society. 

“Youth unemployment is potentially dangerous as it sends a signal to all segments of the Nigerian Society. Here in Nigeria, the rate of youth unemployment is high, even at the period of economic normalcy i.e. the oil boom of the 1970s (6.2 per cent); 1980s (9.8 per cent) and the 1990s (11.5 per cent). Youth unemployment therefore is not a recent phenomenon. But if what happened in the 1980s/90s were a challenge of sorts, what is happening presently, going by the latest report by the National Bureau of Statistics (NBS), is a challenge.”

Jerome-Mario’s essay focuses on several issues affecting the Nigerian youth, including unemployment. The country has a high unemployment rate; over a fourth of the youth population is unemployed. He stresses the importance of the youth using their voice to make a change and to persuade the government to care for its citizens more. 

The pandemic and its lockdown policies have undoubtedly caused many people to lose jobs. Look into the impact of COVID-19 on the unemployment rate, particularly during the early months of the pandemic. Which sectors were most affected? Pull data and statistics to show how the public was affected by the covid-19 pandemic in terms of unemployment.

Many say that unemployment leads to higher crime rates. Do you believe this is true? Research how unemployment is linked to crime; examine the effects of unemployment on mental health; and conclude whether this may contribute to the increased likelihood of committing a crime. 

In Haynes’ essay, he claims that employers/the government, and workers are to blame for unemployment. After reading his essay and both arguments, who do you believe is at fault? Explain your response in detail, and make sure to provide a solid base of evidence.

Unemployment has many contributing causes. Assuming a non-pandemic setting, research what causes unemployment and list them down in your essay. Elaborate on each one and, if you can draw connections, explain them as well. 

As a grave issue, unemployment has many severe effects, notably poverty. For your essay, write about the effects of unemployment on a person, both physical and mental. How are they connected? What secondary effects might they produce? For a compelling and argumentative essay, answer these questions using research material and interview data.

For help with this topic, read our guide explaining what is persuasive writing ?If you are interested in learning more, check out our essay writing tips !

Martin is an avid writer specializing in editing and proofreading. He also enjoys literary analysis and writing about food and travel.

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Unemployment Essay for Students and Children

500+ words essay on unemployment.

Unemployment is a very serious issue not only in India but in the whole world. There are hundreds and thousands of people out there who do not have employment . Besides, the problems of unemployment are very severe in India because of the growing population and demand for jobs. Moreover, if we neglect this problem then it will be going to become the reason for the doom of the nation.

What is Unemployment?

Unemployment refers to a situation in which a skilled and talented people wanted to do a job. But cannot find a proper job due to several reasons.

Types of Unemployment

Now we know what is unemployment but unemployment does not only mean that the person does not have a job. Likewise, unemployment also includes people working in areas out of their expertise.

The various types of unemployment include disguised unemployment, seasonal unemployment, open unemployment, technological unemployment, structural unemployment. Besides, some other unemployment is cyclic unemployment, educated unemployment, underemployment, frictional unemployment, chronic unemployment, and casual unemployment.

Above all, seasonal unemployment, under unemployment, and disguised unemployment are the most common unemployment that is found in India.

Reasons for Unemployment

In a country like India, there is much reason for a large section of the population for being unemployed. Some of these factors are population growth, slow economic growth , seasonal occupation, slow growth of the economic sector, and fall in the cottage industry.

Moreover, these are the major reason for unemployment in India. Also, the situation has become so drastic that highly educated people are ready to do the job of a sweeper. Besides, the government is not doing his work seriously.

Apart from all these, a large portion of the population is engaged in the agricultural sector and the sector only provides employment in harvest or plantation time.

In addition, the biggest reason of unemployment in India is its vast population which demands a large number of jobs every year which the government and authorities are unable to provide.

Consequences of Unemployment

If things will go on like the current scenario then unemployment will become a major issue. Apart from this, the following things happen in an economy which is an increase in poverty, an increase in crime rate, exploitation of labor, political instability, mental health, and loss of skills. As a result, all this will eventually lead to the demise of the nation.

Get the huge list of more than 500 Essay Topics and Ideas

Initiative by Government

The government has taken the problem very seriously and have taken measures to slowly reduce unemployment. Some of these schemes includes IRDP (Integrated Rural Development Programme), DPAP (Drought Prone Area Programme), Jawahar Rozgar Yojana, Employment Assurance Scheme, NRY (Nehru Rozgar Yojana), Training for self-Employment, PMIUPEP (Prime Minister’s Integrated Urban Poverty Eradication Program), employment exchange, Employment Guarantee Scheme, development of organized sector, small and cottage industries, employment in forging countries, and Jawahar Gram Samridhi Yojana and few more.

Besides, these schemes the government also make some rules flexible, so that employment can be created in the private sector also.

To conclude, we can say that the problem of unemployment in India has reached a critical stage. But, now the government and local authorities have taken the problem seriously and working on it to reduce unemployment. Also, to completely solve the issue of unemployment we have to tackle the main issue of unemployment that is the vast population of India.

FAQs about Unemployment

Q.1 Why there is a problem of unemployment in India? A.1 Due to overpopulation and lack of proper skills there is a problem of unemployment in India.

Q.2 Define Disguised unemployment? A.2 Disguised unemployment refers to a form of employment in which more than the required numbers of people work in industry or factory. And removing some employee will not affect productivity.

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Unemployment Essay Writing Guide

Essay paper writing

Academic writing

Employment is one of the major forces that bring on the economic growth of each country. In addition, unemployment rates can show how economic state of a country changes with time. That is why, it is crucially important to study the causes and effects of unemployment on the economy, social issues, and the life of every individual. Every student can do that by working on a research paper or essay about unemployment.

Luckily, you have come across this article, in which we collected the tips and ideas on how to write the best essay or research paper on unemployment. Stay tuned and read on to know all the intricacies of writing the best academic paper on this topic from scratch, even if you know little or nothing in this field. 

Purpose of writing an unemployment research paper

Let’s start with a discussion on how to write a research paper. Conducting unemployment research, you are encouraged to explore and identify issues that arise when willing workers can’t find a well-paid job or lose jobs as a result of their employers’ inability to maintain the growing rate of production.

Of course, this process affects the economy in general as well as the lives of each and every one of us. Having said that, when you look at this problem analytically and study it from different points of view, using recent data, it allows you to either find solutions to it or encourage other students, activists, or even scholars to further this research and propose their solutions.

Unemployment research paper topics

Here are some interesting research topics on unemployment for your consideration: 

• Karl Marx’s theory of unemployment
• To what extent can automation be helpful or harmful in the workforce?
• What are the long-term consequences of unemployment?
• What is a link between inflation and unemployment?
• Why is unemployment particularly bad for women?
• How does the unemployment rate affect the phycological state of people?
• Unemployment during the Big Depression
• Unemployment rate during COVID-19 pandemics
• Automation of labor and unemployment
• The effects of unemployment on students
• The unemployment rate in the country of choice
• Which population is the most vulnerable to unemployment?
• The link between unemployment and crime rate
• Ways of reducing unemployment

Unemployment research questions

When you have chosen the topic, it is important to formulate a few unemployment research questions and choose one or a few that you are going to focus on in your work. If your topic is broad, narrow it down to something more specific that you would be able to cover within the given word count. Make sure it is not too narrow to be researchable but specific enough for you to understand what kind of information to look for specifically.

The questions you formulate can be focused on the:

• Comparison between certain aspects of unemployment.
• Relationships between variables of your choice.
• Advantages/disadvantages of certain aspects.
• Causal relationships between specific variables.
• Factors contributing to the problem or its solution.

There are a lot of ways to formulate a research question for an unemployment paper, and we suggest that you run the question of your choice by your professor before starting to write.

Unemployment research paper outline

While your outline should include as many details as possible, the main sections it will cover are:

• Introduction
• Introductory phrase
• Background information
• Statement of hypothesis/thesis statement
• Body sections:
• Literature review
• Methodology
• Restated hypothesis/thesis
• Main points of research.
• Further application/Significance of research.

Tips for writing an essay on unemployment

Writing an academic essay on unemployment might appear like quite a difficult task. In order to make your life easier, we have decided to provide with the best writing tips:

• Choose the topic which you are genuinely interested in. This way, the writing process will be exciting and productive.
• Make an outline. This is an essential part of employment essay writing, which helps you to keep your ideas in order and write a well-structured text.
• Write the first draft. It will help you understand how to present your arguments and evidence as well as frame your essay.
• Look for well-written examples. There are a lot of sample essays on unemployment on the Web. Therefore, if you are not sure what to focus yours on or how to put your ideas on paper, reading a few examples might help.
• Proofread your essay. It’s a good idea to revise your paper the next day after you finish writing it. This way, you will notice more grammatical errors and common structural and stylistic mistakes.

Topics for writing an essay on unemployment

• Essay on educated unemployment
• Essay on unemployment among graduates
• Essay on unemployment and poverty
• Essay on rural unemployment
• Essay on the evils of unemployment
• Essay on poverty, illiteracy, and unemployment
• Essay on poverty and unemployment in specific countries/states
• Essay on unemployment and underemployment after wars
• Essay on effects of unemployment (psychological, sociological, financial, etc.)
• Causes of unemployment essay
• Essay on reasons for unemployment
• Essay on the impact of unemployment
• Causes and effects of unemployment essay
• Cause and effect of unemployment essay: is there a link between low quality education and unemployment?
• Argumentative essay on unemployment: should government help the vulnerable population with job search?
• Cause and effect essay on unemployment and inflation
• Unemployment problem solution essay
• Essay on employment and unemployment
• Essay on unemployment in America
• Essay on unemployment and its long-term effects

Unemployment essay outline

Whether you are writing a one-page essay on unemployment or a longer well-researched one at the end of the semester, making an outline is an important step you should never skip. Just like with a research paper, an unemployment essay outline also has a specific structure:

• Unemployment essay introduction. For starters, you need to provide readers with background on the topic and some justifications as to why you have chosen it. At the end of the intro, present your thesis statement with the main points that you will be discussing in more detail further.
• Body paragraphs. The main part is the most extended and informative section of the whole essay. It usually consists of 3-5 paragraphs (however, there can be more or less, depending on the specific requirements). Each paragraph has to include the argument connected with your thesis statement, which is reinforced with evidence and examples. Make sure that your body paragraphs are logically interconnected. In this case, transition words will be of great help.
• Conclusion for an essay on unemployment. At the final stage, here comes the time to briefly remind the readers about all the arguments discussed throughout the essay and the thesis statement that you have put forward in the intro. Don’t make new points in a conclusion for an unemployment essay. This is the part where you reflect on what was written without adding factual or statistical info to continue the discussion. In the final sentences of the unemployment essay conclusion, try coming up with a catchy phrase to wrap up everything that you have showcased before effectively and to encourage your readers for further reflections. 

Statistics for your essay on unemployment

We have collected some interesting and somehow shocking statistics, which you can use in your unemployment essay or research paper:

• Developed countries often cannot offer permanent positions for an excessive number of college graduates, both local residents and international students. This problem creates enormous competition for permanent positions in their chosen fields of study. One great example of such a situation is the US economic recession of 2007-2008 when the employment rate of candidates with bachelor's degrees suddenly dropped to as low as 9%.
• One of the recent American surveys showed that some of the highest unemployment rates were among Philosophy (6.2%) as well as the English Language (6.4%) and Mass Media (7.4%) graduates. On the other hand, the lowest unemployment rates were fixed in the fields of Industrial Engineering (1.7%) and Medical Technicians (0.9%).
• Youth are approximately three times more likely to be unemployed than adults (2.7).
• Among all developing regions, East Asia has the largest unemployment rate.
• The number of unemployed workers in the world’s developing economies is roughly the same as the population of Bangladesh (156.6 million), the world’s eighth-most populous country.
• Despite COVID-19 pandemics, the US unemployment rate has fallen to 7.9% (from 8.4%). The most prosperous are the restaurant, retail, and healthcare sectors.

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Essay on Unemployment: 100 to 300 Words

• Updated on  
• Sep 7, 2023

Writing an essay on unemployment provides an opportunity to explore a critical issue affecting societies worldwide. Unemployment, a multifaceted problem, has far-reaching consequences that touch upon various aspects of individuals, families, and nations. In this essay, we will delve into the complexities of unemployment, examine its causes and consequences, discuss government initiatives, and shed light on potential solutions.

This Blog Includes:

Essay on unemployment in 100 words, essay on unemployment in 200 words, essay on unemployment in 300 words, tips to ace in writing an essay.

Must Read: The Beginner’s Guide to Writing an Essay

Unemployment refers to the condition when individuals, capable and willing to work, are unable to secure gainful employment. It is a pervasive issue across the globe, with varying degrees of impact on societies. Unemployment results in financial instability, and emotional distress, and hampers individual growth. Governments and organizations must collaborate to create opportunities for employment through skill development and policy implementation.

Unemployment, a pressing concern globally, stems from multiple factors that hinder the workforce’s engagement in productive activities. It affects both developed and developing nations, contributing to economic imbalances and social disparities. The consequences of unemployment include reduced income levels, increased poverty rates, and strained government resources. Moreover, the psychological toll it takes on individuals and families can be severe, leading to stress, depression, and strained relationships.

The intricate web of unemployment is spun from a mix of causes, ranging from economic fluctuations to structural shifts in industries. Cyclical unemployment, driven by economic downturns, and structural unemployment, resulting from a mismatch between skills and job openings, are widespread forms. Additionally, technological advancements lead to technological unemployment as machines replace human labour.

Unemployment has cascading effects on societies. Diminished purchasing power affects market demand, thereby impacting economic growth. As unemployment rates rise, so does the burden on social welfare programs and the healthcare system. The phenomenon also fuels social unrest and political instability, making it a challenge governments cannot ignore.

Governments worldwide have initiated strategies to tackle unemployment. Skill development programs, vocational training, and entrepreneurship initiatives are designed to equip individuals with market-relevant skills. Furthermore, promoting labour-intensive industries and investing in sectors with growth potential can generate employment opportunities.

In conclusion, unemployment is a complex issue that necessitates a multi-pronged approach. Governments, industries, and individuals must collaborate to alleviate its impact. Effective policy implementation, education reforms, and the cultivation of entrepreneurial spirit can pave the way towards reducing unemployment rates and fostering a more stable and prosperous society.

Before we dive into the specifics of unemployment, let’s briefly discuss some tips to enhance your essay-writing skills:

• Understand the Prompt: Ensure a clear understanding of the essay prompt to address all its components effectively.
• Research Thoroughly: Gather relevant information from credible sources to build a comprehensive and informed essay.
• Organize Your Thoughts: Create an outline to structure your essay logically, allowing your ideas to flow coherently.
• Introduction and Conclusion: Craft a compelling introduction to engage your readers, and a succinct conclusion to summarize your key points.
• Use Clear Language: Express your ideas using clear and concise language, avoiding jargon or overly complex vocabulary.
• Provide Examples: Illustrate your points with real-life examples to enhance understanding and credibility.
• Edit and Proofread: Revise your essay for grammar, punctuation, and coherence to ensure a polished final draft.

Also Read: Unemployment v/s Underemployment – What’s Worse?

Unemployment refers to the state in which individuals who are willing and able to work are without gainful employment opportunities. It is a condition where individuals seek jobs but are unable to secure them, leading to financial instability and societal challenges.

Unemployment, as discussed in the essay, is a multifaceted issue encompassing the lack of employment opportunities for willing and capable individuals. It explores various forms of unemployment, its causes, far-reaching consequences on economies and societies, and the role of governments in implementing solutions to mitigate its impact.

Unemployment is the term used to describe the situation where individuals of working age are actively seeking employment but are unable to find suitable job opportunities. It signifies a gap between the available workforce and available jobs, often leading to economic and social challenges within a society.

Unemployment emerges as a prominent thread, influencing economic, social, and psychological realms. As we’ve explored in this essay, comprehending the causes and consequences of unemployment is pivotal in devising solutions. Governments, institutions, and individuals must strive collectively to unravel this issue’s complexities and weave a fabric of employment opportunities, stability, and progress. We hope that this essay blog on Unemployment helps. For more amazing daily reads related to essay writing , stay tuned with Leverage Edu .

Manasvi Kotwal

Manasvi's flair in writing abilities is derived from her past experience of working with bootstrap start-ups, Advertisement and PR agencies as well as freelancing. She's currently working as a Content Marketing Associate at Leverage Edu to be a part of its thriving ecosystem.

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Unemployment Essay Sample

Unemployment is the state of being jobless and seeking employment, or not having a job. It’s one of the most terrifying things that can happen to an individual. The number of unemployed people in the US is increasing and it’s time we took a closer look at what this means for our society. This essay will explore its causes and inferences.

Here is a sample essay on unemployment given by the experts to students. It could be used as a standard essay to write such other essays for the assignments.

Essay Example on Unemployment

• Thesis Statement of Unemployment Essay
• Introduction of Unemployment Essay
• Cause of Unemployment in the World
• Inferences of the Unemployment in a society of Nation
• How to deter the Problem of Unemployment at Global Scale

Thesis Statement of Unemployment Essay Unemployment gives rise to anarchy, terrorism, and a threat to the internal security of a nation. I ntroduction of Unemployment Essay Today the most fundamental problem that is engulfing society is the issue of unemployment. People are not able to manage two squares of meals per day. This issue cannot be ignored by us at any point as it is eating the structure of our society like a termite thus making it hollow from the inside. There are many problems that arise due to unemployment like terrorism in society which is dangerous for humankind. The issue could be addressed at the most be getting solutions on the problem of unemployment in society, which acts as the causing effect of terrorism and other problems. Main Body of Unemployment Essay Cause of Unemployment in the World The major cause of unemployment in society is the improper management of resources and giving unequal status to the people of society. Here are some major causes of unemployment given below. Unequal Distribution of resources The economic resources are unequally distributed among the people in a society of the nation at large. As a consequence of which some sections get mighty wealth as compared to others. Excessive deflation Another biggest cause that lies behind the cause of unemployment in society is the excessive deflation in the country. When people have to sell their products below the manufacturing cost they find no profit in the business. There comes a time when this business is closed by the businessmen due to lack of profit in the work. Many people lose their employment due to this reason. Mismanagement of the Banking and Financial Institution Loan and other Financial Help are given to the businessmen easily as compared to the common masses. As a result of which there is not a development of the poor people as they cannot invest money for any innovative purpose by owing a loan from the bank. This corruption is the cause of unemployment in a poor section of society. Get Non-Plagiarized Custom Essay on Unemployment in USA Order Now Inferences of the Unemployment in a society of Nation Here are the main results of unemployment in a given nation of a particular society. Students become the enemy of other’s lives in these states. Terrorism –  In the scarcity of jobs youth people join many terrorist groups for the sake of earning livelihood for their families. Thus the rise of terrorism could be backed by the unemployment problem. Human Trafficking –  The biggest issue of human trafficking is unemployment; many women and men are being transferred across the national and international boundaries for this reason. People do not have enough money to rare their families and thus get involved in such anti-social practices to earn money. Social Riots –  Social riots are also the conclusion of unemployment as communities get irritated when other people from a different community get employment. This emotion of wrath and jealously is very strong which even kills the lives of many innocent. Communal Issues –  Many times it also gives rise to the communal issue when social riots take their final destination. It could be the most serious result of unemployment in any society. How to deter the Problem of Unemployment at Global Scale The issue of unemployment is not a small problem that could be easily uprooted by society. Its roots had gone very deep into society and it is very difficult to eradicate them. It could be done by making certain efforts by every person in the world. Here are some points that could be considered by the people to eradicate the unemployment problem from society or the world at large. Equal Distribution of Economic Resources The economic resources must be equally distributed among the people so that this issue of unemployment and accumulation of wealth could be solved. Though it is a difficult thing to do but still if we make some plans for it, success could be achieved in it. Reduction in Corruption Corruption is a major issue that causes a huge part of the unemployment problems. This could be reduced by the efficient bureaucrats of the nation. Skill Oriented study The education should be skilled oriented so that people can work easily to save their livelihood. The education system should also encourage students to create new jobs and employment generation. Buy Customized Essay on Unemployment At Cheapest Price Order Now Conclusion The above discussions and arguments about unemployment draw a conclusion that though the issue is very big it could be solved by making efforts. Certain plans and strategies are needed to achieve the dream of eradicating the unemployment issue from society. Intelligentsia of the society needs to pay big attention towards this field of unemployment. Thus we can save our world from ill practices like terrorism and riots.

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This essay has attempted to provide an overview of the causes and consequences of unemployment.

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A Salty Young Critic Explains Internet Culture, Patiently

Famed for her fearless literary takedowns, Lauren Oyler adopts a softer tone in the new essay collection “No Judgment.”

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By Erin Somers

Erin Somers is a reporter for Publishers Lunch and the author of “Stay Up With Hugo Best.”

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NO JUDGMENTS: Essays, by Lauren Oyler

Why do people like to watch boxing? We admire the fighters: their guts, their footwork. It is elegant yet brutal. It entertains. It is a form of proxy violence — someone else being hit and doing the hitting — that taps into our primal urges.

Lauren Oyler made her name as a pugilist. Her breakout essay on the website BookSlut famously begins, “I have always hated Roxane Gay’s writing.” Her reviews get attention partly because she voices the criticism that one may be too politic to express. Typically, that criticism is harsh. Typically, it is funny. Even her 2021 debut novel, “Fake Accounts,” contains a 40-page parody of the fragmentary novel form that was dominant in that moment, especially among women writers. It goes on for so long that the reader has time to love it, hate it, become exasperated with it, resign herself to it and, finally, admire its diabolical commitment.

Now Oyler has returned with “No Judgment,” a collection of eight essays written specifically for the book. Her sense of humor is present, as is her agile thinking. But fans of blood sport won’t find much here to satisfy their baser appetites. Far from incendiary, the book is cleareyed and grounded. Several essays here provoked the surprising thought, “This is the sanest thing I have ever read on this topic.”

The book begins with an introduction explaining that some of the essays were inspired by “a growing agitation about what I perceived to be misunderstandings and fallacies spreading in cultural criticism and commentary.” Others center on personal experiences. Topics include: the evolution of internet gossip, the flawed social network Goodreads and the creep of the word “vulnerable” into arts criticism. The uniting idea, if there is one, seems to be about how people are using or absorbing media wrong, and how this is annoying.

The essays are long and unhurried, and the fare will be familiar to anyone who spends a lot of time online. Many of them involve Twitter discourses of the past few years. Martin Scorsese’s views on Marvel movies make an appearance, as do the online sagas of the writers Lauren Hough, Kathleen Hale and Elizabeth Gilbert, each of whom raised the hackles of the online reviewing community with a variety of consequences.

The first essay, “Embarrassment, Panic, Opprobrium, Job Loss, Etc.,” traces gossip through the 21st century, from the rise and fall of the website Gawker to #MeToo and whisper networks, and the notorious anonymously sourced list of “bad media men” that shook up the magazine world in 2017. These episodes are fluidly stitched together with added context from history and literature, which is the structure of most of the essays in the book. At its best, it feels like your smart friend explaining to you something you missed on the internet, why it’s important and what it means. Occasionally, it feels like your friend overexplaining these things.

Oyler is a sharp and confident critic, and some interpretations in the book are outstanding. For instance, her reading of the film “Tár,” in an essay called “The Power of Vulnerability,” suggests it is not about cancel culture, as many critics wrote when it first came out, but about what would happen if a woman acted like a man. She writes: “We see Tár from rise to downfall, playing the man the entire time. We see her being called maestro. … Most important, we see her in this astounding, unrealistic career, which, in reality, a woman like her would never achieve. Not only because she is a woman, but because she is a woman who acts like a man: cocky, selfish, self-important, rude, on closer inspection a total fraud.” This is an invigorating way to think about the film, and one that sidesteps trite notions of cancellation.

Likewise, in an essay about the forever war of irony versus sincerity, sparked by David Foster Wallace’s 1993 essay “E. Unibus Pluram” and rehashed every few years online, she proposes that the binary itself is fake. “These oppositions are, have always been, reductive, false: A complex work will almost always have both irony and sincerity, and it is possible to express sincere — or authentic, or true — feelings through irony, a rhetorical device that is useful when you want to represent the tension between two conflicting ideas at the same time.”

The collection’s most ambitious essay is an assessment of autofiction as a form rather than a genre. There are many interesting reflections here on Oyler’s own work (“Fake Accounts” is autofiction) and on the work of others — Vladimir Nabokov, Sheila Heti, Sally Rooney and more.

I had never considered, for example, the space between the reader’s projection of an author of autofiction, and who the author really is. That the author can play with this — either defying or reifying the reader’s preconceived notions — is a tool, and a very cool one.

Still, the book’s measuredness cuts both ways. While it likely demonstrates Oyler’s growth as a writer (you can’t be an edgelord all your life), it lacks the boldness of her novel and magazine writing. It is oddly safe. “TED Talks are stupid,” she writes. Well, yeah; The Onion launched a series making fun of them in 2012.

That these essays were written specifically for the book, meaning they did not run as magazine stories or pegged to news events, made me wonder, sometimes, at the why of them. Why these particular topics? Why this set of minor irritations? Is there anything new or definitive about them? Is there a sense of risk, aesthetically or otherwise?

Luckily, the execution is fresh enough to keep one reading. And the barbs, when they do come, are good — in the final essay, a cheap dentist is described as “a tan man in a linoleum hole.” Maybe it’s best to follow the book’s lead and approach it with equanimity: We can appreciate and mourn its maturity both at once.

NO JUDGMENT : Essays | By Lauren Oyler | HarperOne | 288 pp. | $28.99

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Want to know about the best books to read and the latest news start here..

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Do you want to be a better reader?   Here’s some helpful advice to show you how to get the most out of your literary endeavor .

Each week, top authors and critics join the Book Review’s podcast to talk about the latest news in the literary world. Listen here .

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Unemployment and Its Social Consequences Essay

Introduction, unemployment, unemployment and its social impacts.

Social existence is characterized by a variety of activities and occurrences in individuals’ lives. Such occurrences are characterized by experiences in individuals’ lives that can be viewed as either success or failure. Though people fail to perceive life in its broader perspective and on the contrary limit their personal evaluations on individual bases, there is an indisputable link between an individual’s experience and society.

The sociological imagination is the understanding of the relationship between an individual’s life experience and society. This paper seeks to discuss the topic of unemployment. The paper will look into unemployment and its relation to social aspects.

Unemployment is a common issue that has been facing people over time. Data records with respect to unemployment have over time been varying just like the reported data of newly created jobs in the United States. The annual unemployment rates from the year 1990 have, for example, registered up to over thirty-five million jobs being lost in one year. According to Stone and McCraw (2007), the year 2001 recorded the highest rates of unemployment with the year 1993 reporting the least. Though corresponding created job opportunities are reported to be consistent with the rate of job loss, there are fears that the nature of created jobs is not as secure as the jobs that are being compromised.

One of the causes of the job loss in the country is workers’ mobility that records the loss and the corresponding gains. There are also cases of workers being fired and even job losses and gains due to “companies startup, fail, downsize, upsize and filling of vacancies” (Stone & McCraw, 2007, p. 6) left by the mobility or the firing aspects. Unemployment is therefore a common experience among people in society.

Unemployment may arise under a wide range of circumstances such as loss of jobs due to an individual being fired or the employing entity facing strains into downsizing or closure. An individual can also be jobless after leaving college and prior to any employment attachment. The impacts of such unemployment are however the same and range from impacts being felt at a personal level as well as those that are felt at social levels. One of the impacts of unemployment that connects the unemployed individual with the social fraternity is the lost self-esteem that an individual suffers. This has a dual way perspective.

Low self-esteem can be driven from within the unemployed individual who might start self-isolation from peers who are employed and are financially stable. The peers might as well drive the isolation by looking down upon the unemployed individual and failing to offer social support. Loss of identity in social networks has also been identified to be an impact of unemployment. This can similarly be caused by the individual or the social group. There is also the effect of family breakdown due to instability induced by unemployment. A spouse can, for example, walk out of the marriage as a result of the induced financial strains (Aph, n.d.).

Unemployment can therefore be said to induce social consequences in an individual’s life. Unemployed individuals may have the feeling that they do not equal to those who are employed. These consequences can either be driven by the society or the individual thereby creating the link between individual experiences and society.

Aph. (n.d.). Consequences of unemployment . Web.

Stone, J & McCraw, J. (2007). Unemployment: The Shocking Truth of Its Causes, Its Outrageous Consequences and What Can Be Done About It . Victoria, Canada: Trafford Publishing.

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IvyPanda. (2021, January 5). Unemployment and Its Social Consequences. https://ivypanda.com/essays/unemployment-and-its-social-consequences/

"Unemployment and Its Social Consequences." IvyPanda , 5 Jan. 2021, ivypanda.com/essays/unemployment-and-its-social-consequences/.

IvyPanda . (2021) 'Unemployment and Its Social Consequences'. 5 January.

IvyPanda . 2021. "Unemployment and Its Social Consequences." January 5, 2021. https://ivypanda.com/essays/unemployment-and-its-social-consequences/.

1. IvyPanda . "Unemployment and Its Social Consequences." January 5, 2021. https://ivypanda.com/essays/unemployment-and-its-social-consequences/.

Bibliography

IvyPanda . "Unemployment and Its Social Consequences." January 5, 2021. https://ivypanda.com/essays/unemployment-and-its-social-consequences/.

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As first responders in Nassau County, we know we need NUMC

Nassau University Medical Center in East Meadow. Credit: Newsday/J. Conrad Williams Jr.

As first responders, we see firsthand the nature of the injuries and maladies of the people that we rescue, and that we transport to our various medical facilities here in Nassau County. We are aware of the nature of the facilities to which we transport our aided cases, and are familiar with the necessity for maintaining the appropriate level of care for all of those who find themselves in need.

That's why we are so concerned about the dire situation that threatens the existence of Nassau University Medical Center.

NUMC has an essential Level 1 Trauma Center. It also has Nassau County’s only burn center. Centrally located in East Meadow, NUMC is an average 10 to 15-minute ambulance ride from anywhere in its coverage area, which includes all of Nassau and much of western Suffolk and eastern Queens. If a patient suffers a serious trauma or burn injury, even a short ride can seem like an eternity. In a severe case, adding any appreciable amount of time to that ride will impact the ability of the attending staff to effectively deal with the medical issues, and could be fatal.

As first responders, we tend to think of these essential emergency facilities first when we evaluate NUMC’s importance.

So we have watched in dismay as New York State aid to NUMC has been cut by millions of dollars in recent years — years in which our state and local governments have been awash in COVID-19 funds, tobacco settlement funds, and opioid settlement funds. Why has funding to our public hospital been cut at a time when our need for this facility has grown more pressing? Why is this essential facility being threatened with closure?

From our Editorial Board, get inside the local, city and state political scenes.

By clicking Sign up, you agree to our privacy policy .

Elected officials at all levels need to consider NUMC's importance as the region’s safety-net hospital for our poor, uninsured and underinsured population. This is a public hospital that will not turn anyone away, and which routinely provides a high level of care to those who need it the most.

Elected officials also ought to keep in mind the 3,500 dedicated health care professionals and staff who work so hard on behalf of their patients.

In recent news stories, we read endless vague accusations and demands made by people who seem more interested in upsetting political opponents than in working together to resolve this problem. In fact, Albany and Mineola, Democrats and Republicans, each appoint members to sit on the NuHealth Board, which oversees NUMC. They are all in a position to make fact findings, and to determine what specific problems need to be resolved.

The Nassau County Firefighters Burn Center Foundation, Nassau County Firefighters Association, Association of Fire Districts of Nassau County, and Nassau County Fire Commission together call on everyone involved to immediately end this internecine bickering, and to restore the proper funding that NUMC needs to operate effectively.

This guest essay reflects the views of Thomas E. Gaffney, chairman of the board of directors of the Nassau County Firefighters Burn Center Foundation.

More From Forbes

Prompt engineering embraces new essay-compression technique that expands on getting very constructive generative ai results.

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Handy new prompt engineering technique to do compression on essays and other text is examined and ... [+] showcased as being quite useful.

In today’s column, I am continuing my ongoing coverage of prompt engineering strategies and tactics that aid in getting the most out of using generative AI apps such as ChatGPT, GPT-4, Bard, Gemini, Claude, etc. The focus here is on a brand-new prompting approach that enables you to cleverly compress essays and other text-based narratives. This is a handy technique that ought to be in your prompting best-practices toolkit.

For my in-depth comprehensive guide on over thirty other keystone prompting strategies, see the link here .

Here’s the essence of today’s discussion.

One of the most popular uses of generative AI entails creating summaries of entered text, see my prior coverage on prompting strategies for summarization at the link here and also the chain-of-density technique (CoD) at the link here . The deal is this. You might have a lengthy document that needs a helpful summary covering the crucial points so that you don’t have to wade through a convoluted textual morass. The simplest prompt to achieve a summary will merely tell the AI to go ahead and summarize the material. Boom, you are done, or so it seems.

The problem is that the summary might not be very good. Odds are that the generative AI might omit points that a human would have realized are vital to include in a summary. There is also a significant chance that the source material will be interpreted rather than carried straight ahead into the summary. Loosey-goosey interpretations of what was said in the source could be way off base.

Into this realm comes the act of compression.

Rather than producing a summary that might veer from the source, you can ask to do a compression. The idea of compression is that the source is reduced in size by a thinning process, but no adaptations or rephrasing takes place. You are still seeing the same words that were in the source. A thinning process is undertaken to try and keep just the needed meat on the bones conveying the crux of the source material.

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To clarify, compression is not a silver bullet. Issues about compression can arise. For example, it is conceivable that as generative AI thins out a source text, some key points might inadvertently get weaned out. Another possible issue is that the resulting compressed text might seem nearly unreadable or incomprehensible. The words removed that might have seemed inconsequential by the AI were possibly integral to the intelligible reading of the text.

The bottom line is that anyone proficient in the use of generative AI should know both techniques by heart, freely welding the best ways to do prompting that encompasses summarization and astute prompting that does compression. You can then wisely decide which approach befits a given circumstance. Sometimes you pull out the hammer of summarization, and other times you reach for the screwdriver of compression. They are two distinct tools that require suitable handling and must be selected for the appropriate situations.

A frequent question I get during the prompt engineering classes that I teach is whether summarization is better than compression, or whether compression is better than summarization. This always brings a smile to my face. The conveyed conundrum is a false choice. None is especially better than the other in the abstract. Each provides a set of benefits and drawbacks. I don’t think you can in the abstract make a solid case that a hammer is better than or worse than a screwdriver since the situation at hand dictates as such. The same goes for summarization versus compression.

Okay, now that we’ve got that foundation established, there are already various recommended ways to word a prompt to do summarizations and compressions. A recent research study explored the topic and proffered a prompt for compression that they extensively tested and found to be quite useful. I will walk you through their research efforts and results.

I opted to try out the compression prompt by doing some of my own testing as a mini-experiment using ChatGPT and GPT-4. This allows you to see the compression prompting in action. I will discuss the matter and aim to arm you with how to suitably use the clever technique.

Before we get into the specifics of this new compression technique, it would be useful to make sure we are all on the same page about the nature and importance of prompt engineering.

Let’s do that.

The Nature And Importance Of Prompt Engineering

Please be aware that composing well-devised prompts is essential to getting robust results from generative AI and large language models (LLMs). It is highly recommended that anyone avidly using generative AI should learn about and regularly practice the fine art and science of devising sound prompts. I purposefully note that prompting is both art and science. Some people are wanton in their prompting, which is not going to get you productive responses. You want to be systematic leverage the science of prompting, and include a suitable dash of artistry, combining to get you the most desirable results.

My golden rule about generative AI is this:

• The use of generative AI can altogether succeed or fail based on the prompt that you enter.

If you provide a prompt that is poorly composed, the odds are that the generative AI will wander all over the map and you won’t get anything demonstrative related to your inquiry. Similarly, if you put distracting words into your prompt, the odds are that the generative AI will pursue an unintended line of consideration. For example, if you include words that suggest levity, there is a solid chance that the generative AI will seemingly go into a humorous mode and no longer emit serious answers to your questions.

Be direct, be obvious, and avoid distractive wording.

Being copiously specific should also be cautiously employed. You see, being painstakingly specific can be off-putting due to giving too much information. Amidst all the details, there is a chance that the generative AI will either get lost in the weeds or will strike upon a particular word or phrase that causes a wild leap into some tangential realm. I am not saying that you should never use detailed prompts. That’s silly. I am saying that you should use detailed prompts in sensible ways, such as telling the generative AI that you are going to include copious details and forewarn the AI accordingly.

You need to compose your prompts in relatively straightforward language and be abundantly clear about what you are asking or what you are telling the generative AI to do.

A wide variety of cheat sheets and training courses for suitable ways to compose and utilize prompts has been rapidly entering the marketplace to try and help people leverage generative AI soundly. In addition, add-ons to generative AI have been devised to aid you when trying to come up with prudent prompts, see my coverage at the link here .

AI Ethics and AI Law also stridently enter into the prompt engineering domain. For example, whatever prompt you opt to compose can directly or inadvertently elicit or foster the potential of generative AI to produce essays and interactions that imbue untoward biases, errors, falsehoods, glitches, and even so-called AI hallucinations (I do not favor the catchphrase of AI hallucinations, though it has admittedly tremendous stickiness in the media; here’s my take on AI hallucinations at the link here ).

There is also a marked chance that we will ultimately see lawmakers come to the fore on these matters, possibly devising and putting in place new laws or regulations to try and scope and curtail misuses of generative AI. Regarding prompt engineering, there are likely going to be heated debates over putting boundaries around the kinds of prompts you can use. This might include requiring AI makers to filter and prevent certain presumed inappropriate or unsuitable prompts, a cringe-worthy issue for some that borders on free speech considerations. For my ongoing coverage of these types of AI Ethics and AI Law issues, see the link here and the link here , just to name a few.

All in all, be mindful of how you compose your prompts.

By being careful and thoughtful you will hopefully minimize the possibility of wasting your time and effort. There is also the matter of cost. If you are paying to use a generative AI app, the usage is sometimes based on how much computational activity is required to fulfill your prompt request or instruction. Thus, entering prompts that are off-target could cause the generative AI to take excessive computational resources to respond. You end up paying for stuff that either took longer than required or that doesn’t satisfy your request and you are stuck for the bill anyway.

I like to say at my speaking engagements that prompts and dealing with generative AI is like a box of chocolates. You never know exactly what you are going to get when you enter prompts. The generative AI is devised with a probabilistic and statistical underpinning which pretty much guarantees that the output produced will vary each time. In the parlance of the AI field, we say that generative AI is considered non-deterministic.

My point is that, unlike other apps or systems that you might use, you cannot fully predict what will come out of generative AI when inputting a particular prompt. You must remain flexible. You must always be on your toes. Do not fall into the mental laziness of assuming that the generative AI output will always be correct or apt to your query. It won’t be.

Write that down on a handy snip of paper and tape it onto your laptop or desktop screen.

Using Special Prompts Including Chain-of-Density

There is a slew of somewhat remarkable prompt phrases that are essential for anyone seriously doing prompt engineering. One such phrase involves telling generative AI to work on a stepwise basis, something commonly known as invoking chain-of-thought responses by the AI, see my coverage at the link here . Another popular ploy entails telling the AI to take a deep breath, see my analysis of this prompt at the link here . One of the latest favorites involves commanding the AI to take on a Star Trek consideration when devising an answer, see my discussion at the link here .

I previously covered in my writings the various prompts that are particularly suited for getting summaries of text that you might provide to generative AI. Summarizing text is a very common use of generative AI. You can simply paste a whole bunch of text into generative AI and get a pretty good summary of the text. That being said, summaries can diverge from the original content and potentially contain misleading or even outright incorrect summarized content, see my analysis at the link here .

In short, summarizing can be risky due to the generative AI opting to rephrase the original content. The rephrasing might fail to depict the proper meaning and intention of the source content. Envision using summarization on doctor’s notes via generative AI, which is then handed to a different physician and they only have the summary at their purview, see my exploration of these matters at the link here .

Thus, a conventional summarization could be disturbingly problematic.

There is a method of devising summaries that use a prompting strategy that aims to bolster generative AI toward attaining especially superb or at least better than usual kinds of summaries. The technique is known as chain-of-density (CoD). Anybody versed in prompt engineering ought to become familiar with this insightful technique. Consider chain-of-density as not only helpful for producing summaries but there are a lot of other benefits garnered by understanding how the technique works and how this can power up your overall prompting prowess all-told.

For my detailed coverage of the chain-of-density prompting technique, see the link here .

Allow me a moment to share some of those elicitations with you here.

When you are trying to craft a summary, you often might do so in a series of successive attempts. Your first shot might be to craft a summary that has only a few of the biggest points that need to be included. After considering the initial draft, the odds are that you might further refine the summary by adding more elements to it. This can go on and on. Depending on how thorough you are, you might do a handful or more of these refining iterations. Each iteration can be construed as a chain of iterative summaries, one leading to the next for a given instance of trying to write a summary.

That’s the “chain” part of this process.

Let’s add some further terminology to describe the summary-making effort.

A summary typically starts as somewhat sparse when you first toss it together. There isn’t much of any substance in the summary. You are usually seeking to further pack substance into the summary and do so while fighting the length of the summary. The more substance that you can jam into the summary, the higher the density of the summary.

We can give a name to the substance by saying that we are trying to identify important “entities” within the original content. Those entities might be facts or figures. The entities are said to be anything especially instrumental to the overall meaning of the original content. A hope is to carry over as many of the demonstrative entities as feasible into the summary.

Your summary-making process then is to iteratively devise a summary by starting with a sparse version and then adding more and more entities or substances to increase the density until you reach some desired or suitable end-state. The series of iterations acts as a chain. Each is used to connect to the next. You usually will retain the entities from one version to the next version, and be decidedly adding more of the entities available in the original as you seek to jampack the summary accordingly.

Reflect on the adage of putting five pounds of rocks into a three-pound bag.

Maybe you put one pound of rocks into the three-pound bag at the initial attempt. The bag is considered sparsely populated. There is still room to spare. The density is low. You then put a second pound of rocks into the bag. The density is increasing. The sparseness is lessening. Finally, you put in a third pound of rocks. You have hit the maximum density and the sparseness has presumably dropped to near zero.

Suppose that the bag can be elongated.

Wonderful, you exclaim, being overjoyed at having more available space. Imagine though that you are going to hand the bag over to someone else. The larger and heavier the bag, the less useful it becomes. The same applies to summaries.

A rule of thumb is that you want to minimize the length or size of the summary, meanwhile maximizing the summarization content. The two factors are often in contention with each other. You are tempted to increase the length to get more substance included. The length being increased will potentially undercut that the summary is supposed to be a summary.

A person might seemingly just go ahead and read the original content if the summary approaches the size of the original material being summarized. The summary isn’t especially a summary anymore at that juncture. Indeed, sometimes a summary turns out to be longer than the original content that is supposedly being summarized.

How can this be, you might be thinking?

The answer has to do with being extractive versus being abstractive.

During the summarization process, you are looking at two possibilities of the content being carried over into the summary. First, you aim to be extractive, primarily extracting key aspects and shoveling those into the summary. Second, you might at times be abstractive, whereby you go beyond the words themselves of the original content and begin to reinterpret or perhaps elaborate beyond what the summary per se has to say.

A purely extractive summary is more likely to be construed as a fair and balanced reflection of the original content. You are not changing things up. You are only carrying the essentials (entities) over into the summary. The problem with an abstractive summary is that you are potentially changing up things and will be biasing or in some manner altering the meaning found within the original content being summarized. The danger is that this kind of summary is no longer seen as fair and balanced, and instead is based on the perceptions and opinions of the summarizer.

In a sense, if you want an unadorned straightforward summary, you are better off with an extractive summary. If you want an adorned or embellished summary, that goes beyond the words presented in the original source, you might seek an abstractive summary. The thing is, the abstractive summary might no longer be an apt reflection of the original source. That is also how the summary might become longer than the original since the embellishments can possibly increase the size of things and you could find yourself looking at a summary that is much longer than the source used for the summary.

Focusing On Compression As An Extractive Form Of Summarization

The usual parlance when you want a strictly extractive form of summarization is to say that you want a compression of your text.

I should warn you though that the word “compression” means different things to different people. Some are willing to be abstractive when doing a compression. Others would be aghast at someone veering into an abstractive mode when doing what they consider to be a rightfully done compression. To them, compression must be stridently adherent to not rewording any aspect of the source text being used.

I will be showing you in the next section some examples of using prompts related to asking generative AI to do compression. You will immediately see that the word “compression” is relatively ambiguous to most generative AI apps. They might interpret the word to imply purely extractive, but more likely they will assume this means to be abstractive. You will need to nail down in detail what you want the AI to do. I will show you this.

What else should you be thinking about when it comes to doing compression in generative AI?

I am glad you asked.

A recent research study entitled “LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression” by Zhuoshi Pan, QianhuiWu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin, Victor Rühle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang, arXiv , March 19, 2024, made these salient points (excerpts):

• “This paper focuses on task-agnostic prompt compression for better generalizability and efficiency.”
• “We formulate prompt compression as a token classification problem to guarantee the faithfulness of the compressed prompt to the original one, and use a Transformer encoder as the base architecture to capture all essential information for prompt compression from the full bidirectional context.”
• “Recent years have witnessed the emergence of various prompting techniques for large language models (LLMs), such as Chain-of-Thought (COT), In-context Learning (ICL), and Retrieval Augmented Generation (RAG). These techniques empower LLMs to handle complex and varied tasks through rich and informative prompts that may exceed tens of thousands of tokens.”
• “However, the benefits of such lengthy prompts come at a cost of increased computational and financial overhead, as well as the degraded information perception ability of LLMs. Prompt compression is a straightforward solution to address these issues, which attempts to shorten the original prompts without losing essential information.”

I’d like to explain some of those notable points to you.

First, one ongoing consideration is whether a compression prompt is written to be task-specific or task-agnostic.

A task-specific prompt is worded to fit a particular task at hand, such as if you were doing a compression of medical notes and you wanted the prompt to emphasize particular characteristics associated with medical lingo. The prompt is devised for that domain.

A task-agnostic prompt is broader and allows you to use it in a wide variety of circumstances. It is always best to have in your tool chest a task-agnostic prompt since you can use it on a generalized basis, plus you can tweak the wording for task-specific settings. The aim of the above research study was to focus on task-agnostic prompts for compression, which is handy for our purposes herein.

Second, we often speak of compression prompts as hopefully being faithful to the source material.

Faithfulness refers to the notion that the compression tries to retain crucial wording and not goof by removing something that will substantively undercut the meaning. Imagine that a sentence said “Do not cook for more than two minutes” and the compression lopped out the word “not”, leading to this compressed version of “Do cook for more than two minutes”. Ouch, your souffle might be ruined by your having used an unfaithful compression.

Third, an aspirational aim of compression is to be bidirectional, allowing that besides going from the source to a proper compressed version, you potentially can use the compressed version to get back to the source. This is not necessarily the case and opens quite a can of worms. Not everyone needs or expects to be able to return to the full source.

Fourth, it is worthwhile to note frequent circumstances whereby compression really shines.

Suppose that you are importing a ton of text into generative AI, see my explanation of importations prompting strategies at the link here . Or maybe you are using in-context modeling and relying on an external source of text, doing so via the use of RAG (retrieval augmented generation), see my discussion at the link here . And so on.

An important question that comes up is whether it is sensible to bring in the whole ball of wax or whether to try and somehow shorten what you need to bring in.

If you bring in a massive amount of text, you are fighting against the potential limits of generative AI. Those limits can severely degrade the results of the AI trying to cope with the text overload. You also have to consider potential costs. If you are paying for the use of generative AI, the longer-sized text is bound to be a costlier charge than if you could thin it down. Likewise, the servers used to compute the generative AI actions will consume more computational cycles and you will get a double whammy on cost.

I am sure that you immediately discern that a potential solution would be to compress the content, thus, you don’t have to confront the technical limits of the generative AI and might be able to keep your costs lower too. Whenever you are considering bringing into generative AI any large-scale body of text, please have alarm bells go off in your head that tell you to consider doing either compression or summarization. You will be glad that you considered the option.

Returning to the above research study facets, let’s see what they did and the results they found (excerpts):

• “We conduct extensive experiments and analysis on both in-domain (i.e., MeetingBank) and out-of-domain datasets (i.e., LongBench, ZeroScrolls, GSM8K, and Big Bench Hard).” (ibid).
• “Despite being small in size, our model shows significant performance gains over strong baselines and demonstrates robust generalization ability from GPT-3.5-Turbo to Mistral-7B.” (ibid).
• “Additionally, our model is 3x-6x faster than existing prompt compression methods, while accelerating the end-to-end latency by 1.6x-2.9x with compression ratios of 2x-5x.” (ibid).

You can see that they were able to attain some impressive results.

I especially applaud research on generative AI that includes multiple generative AI apps. I say this because each generative AI app differs from the other, ergo if a study exclusively uses only one generative AI app it is hard to claim that the same approach will work equally well on other generative AI apps. Here, it is good news for us that they tried different generative AI apps and essentially found similarly positive results.

I am sure you are eager to see an example of what their compression prompt was able to achieve.

Here is one such example from their study, in this case compressing a meeting transcript snippet from a database of such transcripts (excerpt):

• Original Text: “Item 15, report from City Manager Recommendation to adopt three resolutions. First, to join the Victory Pace program. Second, to join the California first program. And number three, consenting to the inclusion of certain properties within the jurisdiction in the California Hero program. It was emotion, motion, a second and public comment. CNN. Please cast your vote. Oh. Was your public comment? Yeah. Please come forward. I thank you, Mr. Mayor. Thank you. Members of the council. My name is Alex Mitchell. I represent the hero program. Just wanted to let you know that the hero program. Has been in California for the last three and a half years.”
• Compressed Text: “Item 15, City Manager Recommendation adopt three resolutions. Join Victory Pace program. Join California first program. Consent inclusion properties jurisdiction California Hero program. Emotion, motion, second, public comment. Cast vote. Public comment? Come forward. Alex Mitchell, represent Hero program. Hero program in California three half years.”

The original text has 109 words, while the compressed text has 46 words. The compression removed 63 words (that’s 109 words in total minus 46 words remaining = 63 words removed). You could say that roughly 58% of the source was removed (i.e., 58% of 109 is about 63). Well over half of the source has been removed.

Now comes the tough part.

Does the compressed version suitably capture the crux of the original text?

Has anything been removed that is essential and thus the compressed version has missed the boat?

I think you can likely see how hard a problem it is to do a proper compression if you try doing the same task yourself by hand. Here’s what I am saying. I want you to look at the original text and try to compress it. What would you remove? What would you leave in? How far can you go on this process, yet still ensure that the result has the needed points and is intelligible?

A twist involves settings where the original text itself is not necessarily that intelligible. A transcript is a great example of a thorny problem. The odds are that a transcript will contain filler words and utterances. Are they worthy of being retained or should those be removed? If you exhort it is obvious to remove the utterances, the issue there is that the tenor or tone of what was said could end up being removed. Perhaps that aspect is vital to comprehending the matter.

Besides deciding whether a compression has done a good job, you might also be wondering whether there is even more compression that can be performed.

Envision that we use a compression that does a good job and reduces the size of the source to half in size. But along comes a better approach that can do the same job and achieve a three-quarters reduction in size. Assuming that all else is equal, you would naturally seek to use the three-quarters reduction approach.

This can be tricky to compare. The greater the compression in terms of reducing the size, the more likely the odds that the compression isn’t going to be as intelligible or otherwise isn’t as apt. The criteria are usually battling with each other. The more reduction, the less of a good job in the sense of being usable and appropriate. The more of a good job you want, the less reduction you can usually achieve. Darned if you do, darned if you don’t.

The Compression Prompt As A Task-Agnostic Template

Congratulations, you have waded through the weeds to get to the crescendo.

Let’s see what the prompt template of their task-agnostic compression prompt consists of (excerpt):

• “System Prompt: You are an excellent linguist and very good at compressing passages into short expressions by removing unimportant words while retaining as much information as possible.”
• “User Prompt: Compress the given text to short expressions, such that you can reconstruct it as close as possible to the original.”
• “Unlike the usual text compression, I need you to comply with the 5 conditions below:”
• “1. You can ONLY remove unimportant words.”
• “2. Do not reorder the original words.”
• “3. Do not change the original words.”
• “4. Do not use abbreviations or emojis.”
• “5. Do not add new words or symbols.”

-“Compress the original aggressively by removing words only. Compress the original as short as you can, while retaining as much information as possible. If you understand, please compress the following text: {text to compress}”

I will be using that same prompt in a moment when I show you examples using ChatGPT and GPT-4.

Let’s briefly review the prompt and see what it contains.

First, the prompt tells the generative AI to invoke a persona. For my extensive coverage of personas in generative AI, see the link here and the link here . This is a powerful prompting technique.

Personas get the AI into a computational pattern-matching mode that can significantly aid whatever task you are trying to perform. In this instance, they are telling the AI that it is to pretend to be an excellent linguist and good at compressing passages of text. Nice touch.

Many users of generative AI fail to lean into personas when doing so would be especially advantageous. The use of a persona for amping up compression is a good move. Make sure to keep personas in your mind whenever using generative AI. You’ll be glad that you did.

Second, they provide five stipulated conditions for the compression. This is good since you want to provide as much guidance as you can when asking for a compression. I mentioned earlier that the word “compression” can be ambiguous. Spelling out the five stated conditions will give the AI important clues about what to do.

Third, the phrasing for AI that you use in a prompt ought to at times be emphatic. If you aren’t emphatic, the instructions might be ignored or downplayed. For example, telling the generative AI to aggressively do the compression is a means of guiding the AI toward doing a strident job. I should note that your being emphatic has a downside. The emphatic wording, if it goes way over the top, can trigger a mathematical and computational pattern-matching storm that will distract from what you are trying to undertake.

I believe that sufficiently outlines the keystones of the prompt. Just like buying a new car, we need to take this shiny new vehicle for a drive. Get yourself strapped in and ready for a wild ride.

Showcasing The Topic Via Examples In Generative AI

I will next proceed to showcase what happens when you use compression prompting while in a conversation with generative AI. I am going to use ChatGPT and GPT-4 to showcase my examples. ChatGPT and GPT-4 are sensible choices in this case due to their immense popularity as generative AI apps. An estimated one hundred million weekly active users are said to be utilizing ChatGPT and GPT-4. That’s a staggering number.

A few quick comments before we launch into using ChatGPT and GPT-4.

If you are going to try to do the same prompts that I show here, realize that the probabilistic and statistical properties will likely produce slightly different results than what I show here. That’s the nature of generative AI and how it is devised.

You also should expect that different generative AI apps will respond in different ways. Not all generative AI apps are the same. The key is that sometimes a particular prompt will work in one generative AI app and not another. You will need to undertake a series of trial-and-error attempts to ferret this out.

There is also the timing factor. A prompt that worked today might not work the same way tomorrow. Most of the generative AI apps are continually being updated. The updates might alter internal facets that could change how the AI reacts to your prompting.

We are ready to get underway and I will begin with ChatGPT.

You can do the same in whichever generative AI app that you are using.

As a heads-up, I decided to use Abraham Lincoln’s famous Gettysburg Address as the text that I wanted to have compressed. There are variations of his speech that can be readily found online. I opted to use a version that contains 271 words. Our aim in this mini-experiment will be to do a compression and see if we can reduce the size, along with retaining intelligibility and vital points.

I’m sure that you already know the speech, which starts this way “Four score and seven years ago our fathers brought forth on this continent, a new nation, conceived in Liberty, and dedicated to the proposition that all men are created equal. Now we are engaged in a great civil war, testing whether that nation, or any nation so conceived and so dedicated, can long endure…”

Here we go.

• My entered prompt into ChatGPT: “I want you to compress an essay that I am going to give you. Are you ready?”
• ChatGPT generated response: “Yes, I'm ready to help compress your essay. Please provide the essay, and I'll assist you in condensing it.”
• My entered prompt into ChatGPT: “Here is the text of the Gettysburg address. Go ahead and compress it.”
• ChatGPT generated response: “Abraham Lincoln's Gettysburg Address, delivered during the American Civil War, reflects on the nation's founding principles of liberty and equality. He honors those who sacrificed their lives on the battlefield, emphasizing the ongoing responsibility to preserve freedom and uphold democratic government. Lincoln urges dedication to the unfinished task of ensuring the nation's survival and the continuation of its principles, emphasizing the importance of honoring the fallen and ensuring their sacrifice was not in vain.”

Take a look at the so-called compression that I got.

You right away certainly observed that the generated response is not a compression. It is more of a summary. Well, maybe not quite a summary either. It has indications that go beyond the text that was provided. This likely was tapped into by ChatGPT as per other prior data training about Abraham Lincoln and the Gettysburg Address in general during the initial setup of ChatGPT.

I’m glad this happened. You see, I wanted to show you this kind of an example to emphasize my earlier point that the word “compression” can be ambiguous. This was not the kind of compression I had in mind.

If at first, you don’t succeed, try and try again, as they say.

• My entered prompt into ChatGPT: “Let’s start over. I want you to compress the material. You are to use only the material provided and compress the contents. Don’t make any interpretations. Don’t do any rewording.”
• ChatGPT generated response: “Understood. Please provide the material you'd like me to compress, and I'll follow your instructions accordingly.”
• My entered prompt into ChatGPT: ”Here is the text to be compressed…”
• ChatGPT generated response: "87 years ago, our fathers founded a nation dedicated to liberty and equality. Now, in a great civil war, we honor those who sacrificed for our nation. It's fitting to dedicate this ground, yet their deeds surpass our words. We must continue their work, ensuring their sacrifices were not in vain. Let us resolve to uphold freedom and democratic government.”

I valiantly tried to convey to ChatGPT that I wanted a compression.

Though the result is more so a compression than the first run, it still isn’t a compression of the caliber we are looking for. One irksome thing was the “87 years ago” which is a kind of summary or interpretation of what the source says. Didn’t want that.

But I am somewhat pleased that the result came out badly because it shows that even if you try to be instructive about compression, the result still might not come out as hoped for. I think we are primed and ready to see if the compression prompting template will do any better with ChatGPT.

Are you ready to see?

Hold your breath.

• My entered prompt (based on the research prompt template): “You are an excellent linguist and very good at compressing passages into short expressions by removing unimportant words while retaining as much information as possible. Compress the text I am going to give you and compress the text into short expressions, and such that you (ChatGPT) can reconstruct it as close as possible to the original. Unlike the usual text compression, I need you to comply with 5 conditions. First condition: You can ONLY remove unimportant words. Second condition: Do not reorder the original words. Third condition: Do not change the original words. Fourth condition: Do not use abbreviations or emojis. Fifth condition: Do not add new words or symbols. Make sure to compress the original text aggressively by removing words only. Compress the original text as short as you can, while retaining as much information as possible. Do you understand these instructions?”
• ChatGPT generated response : “Yes, I understand the instructions. Please provide the text you'd like me to compress.”
• My entered prompt: ”Here is the text to be compressed…”
• ChatGPT generated response: “Four score and seven years ago our fathers brought forth on this continent a new nation, conceived in Liberty, dedicated to the proposition that all men are created equal. Now engaged in a great civil war, testing whether that nation, or any nation so conceived and dedicated, can long endure. We are met on a great battle-field. We have come to dedicate a portion of that field, a final resting place for those who gave their lives. It is fitting and proper that we should do this. But, in a larger sense, we cannot dedicate, consecrate, hallow this ground. The brave men, living and dead, who struggled here, consecrated it. The world will little note, nor long remember what we say here, but it can never forget what they did here. It is for us the living to be dedicated to the unfinished work they who fought here have nobly advanced. It is for us to be dedicated to the great task remaining before us—that from these honored dead we take increased devotion to that cause—that we highly resolve that these dead shall not have died in vain—that this nation, under God, shall have a new birth of freedom—and that government of the people, by the people, for the people, shall not perish.”

Finally, we got a compression.

We are now in the right ballpark.

The compressed result has 217 words.

The original text has 271 words, while the compressed text has 217 words. The compression removed 54 words (that’s 271 words in total minus 217 words remaining = 54 words removed). You could say that roughly 20% of the source was removed (i.e., 20% of 271 is about 54). Approximately one-fifth was removed.

I dare say that’s not a compression ratio to be overly elated about. Look, I’m glad that we got the 20%, and I don’t like to look a gift horse in the mouth. It would seem intuitively we might be able to do better.

Note that the prompt doesn’t give a target level of compression. This is something you might consider adding to the prompt. I would first start without a target and just see what you get. Once you’ve seen the result of a first run, go ahead and consider redoing the prompt with a desired target level.

We must also of course consider whether the compressed version is any good at the get-go.

In the case of something like the Gettysburg Address, we could argue forever about the portions that were removed. It is tough since the entire speech is remarkable. Nearly every line and each word is astounding. Imagine trying to compress a poem, and the odds are that you will be leaving out facets that will break your heart.

Another reminder is that you should carefully consider what text you are going to compress and whether the compression, no matter how it works, will be able to reasonably do justice to the original text.

I went ahead and played with the compression prompt template and tried all kinds of variations. In the end, I decided that ChatGPT just doesn’t have the gravitas to go much further on this. I became exasperated and thought that for sure GPT-4, being more advanced than ChatGPT, would do a better job.

Let’s try using GPT-4 and see what happens.

• ​​ My entered prompt into GPT-4: “I want you to compress an essay that I am going to give you. Here is the text to be compressed…”
• GPT-4 generated response:

“To compress the text while retaining its essence, I'll remove some parts and rephrase others for brevity.”

"Four score and seven years ago, our fathers founded a new nation on this continent, dedicated to liberty and the belief that all men are created equal. We are now in the midst of a great civil war, testing whether this nation, or any nation so conceived, can endure. We meet on a battle-field of that war, dedicating a part of it as a final resting place for those who gave their lives for this nation's survival. It's fitting and proper we do this.

“Yet, we can't dedicate, consecrate, or hallow this ground beyond what the brave men, living and dead, who struggled here have done. The world may not remember our words, but it can't forget their deeds. It's our task to be dedicated to the unfinished work they've advanced so nobly. From these honored dead we take increased devotion to their cause, resolving that these dead shall not have died in vain, that this nation shall have a new birth of freedom, and that government of, by, and for the people shall not perish."

“The compressed text has been reduced to 176 words.”

End of GPT-4 response

You can see that I first tried a vague prompt about compression.

Sure enough, the compression included rephrasing, which isn’t what I had in mind. No problem. You can’t expect generative AI to be reading minds (well, you soon can, as I explain is being researched, see my coverage at the link here ).

Similar to what I had done with ChatGPT, I will next try a compression prompt based on some simple wording. I will also include a target level of compression so you can see how that impacts the result.

Here’s what took place.

• My entered prompt into GPT-4: “Do the compression over again. You cannot do any rephrasing this time. You can only remove words. Compress as much as possible while abiding by these rules. Try to aim for a result that has 100 words or less.”

“To compress the text by only removing words without rephrasing, I'll select key sentences and phrases that capture the essence of the original message while significantly reducing the length. Given the constraints, this selection process aims to preserve the core themes of unity, dedication, and the importance of the struggle while adhering to the word count limit.”

"Four score and seven years ago our fathers brought forth on this continent, a new nation, conceived in Liberty, and dedicated to the proposition that all men are created equal. Now we are engaged in a great civil war, testing whether that nation, or any nation so conceived and so dedicated, can long endure. The brave men, living and dead, who struggled here, have consecrated it, far above our poor power to add or detract. It is for us the living, to be dedicated to the unfinished work which they who fought here have thus far so nobly advanced."

“The condensed version of the text is approximately 99 words in size while adhering to the rule of only removing words without rephrasing.”

Seems like GPT-4 did what I asked.

As always, it is important to gauge the intelligibility and aptness of the compression. I won’t delve into that here, other than to say it seemed basically on par with what might be expected, especially given the severe constraint of being around 100 words or less.

We are ready to try the compression prompt template.

• My entered prompt into GPT-4 (based on the research prompt template): “You are an excellent linguist and very good at compressing passages into short expressions by removing unimportant words while retaining as much information as possible. Compress the text I am going to give you and compress the text into short expressions, and such that you (ChatGPT) can reconstruct it as close as possible to the original. Unlike the usual text compression, I need you to comply with 5 conditions. First condition: You can ONLY remove unimportant words. Second condition: Do not reorder the original words. Third condition: Do not change the original words. Fourth condition: Do not use abbreviations or emojis. Fifth condition: Do not add new words or symbols. Make sure to compress the original text aggressively by removing words only. Compress the original text as short as you can, while retaining as much information as possible. Do you understand these instructions?”
• GPT-4 generated response : “Yes, I understand the instructions. Please provide the text you'd like me to compress.”
• My entered prompt into GPT4: ”Here is the text to be compressed…”
• GPT-4 generated response: “Four score seven years ago fathers brought forth continent, new nation, conceived Liberty, dedicated proposition men created equal. Now engaged great civil war, testing whether nation, any nation conceived dedicated, can long endure. Met great battle-field war. Come dedicate portion field, final resting place who gave lives nation might live. Altogether fitting proper do this. But, larger sense, can not dedicate—not consecrate—not hallow—ground. Brave men, living dead, struggled, have consecrated, above our power add detract. World will little note, nor long remember say here, but never forget did here. For us living, rather, dedicated here unfinished work fought have nobly advanced. Rather for us here dedicated great task remaining before us—that from these honored dead take increased devotion cause gave last full measure devotion—that here highly resolve dead not died in vain—that nation, under God, shall new birth freedom—and government people, by people, for people, shall not perish earth.”

Note that I didn’t give a target level this time and thus the size of the result was based on the general tenor of the compression prompt about being aggressive on the compression.

The original text has 271 words, while the compressed text has 156 words. The compression removed 115 words (that’s 271 words in total minus 156 words remaining = 115 words removed). You could say that roughly 42% of the source was removed (i.e., 42% of 271 is about 115). We were nearing maybe half being removed. Remarkable.

I’ll mention that as always, we would want to closely scrutinize the compressed version. All the other caveats I’ve mentioned still apply.

My recommendation to you is that you try doing some compression prompting exercises via whichever generative AI app you are customarily using. Do so now, before you suddenly discover the need to do a compression. It would be wise to be prepared.

Proceed as follows. First, make use of vague compression prompts and see what happens. Next, fine-tune those prompts and look anew at what happens. Then, try the mentioned compression prompt and gauge how it goes for you. Tweak the prompt as needed. Keep on practicing until you feel you’ve gotten the right swing of things. Reward yourself accordingly.

A final thought for now on this matter.

John Morley, 1st Viscount Morley of Blackburn, the famed British statesman, and journalist, said this about compression: “The essence of a quote is the compression of a mass of thought and observation into a single saying.”

Compression is not an easy task. Any wanton approach can easily do compression if you are willing to toss intelligibility and aptness out the window. Getting generative AI to do erstwhile compression requires soundness on the part of the person entering the prompts. They also need to carefully review the result and not wantonly hand off the compressed version to others who might be unaware of what the original had to say.

Please remember that I energetically asked you to consider practicing doing compressions in generative AI, so that when the day arrives that you must do so, you are ready with the axe firmly in hand.

The last line today suitably goes to Abraham Lincoln: "Give me six hours to chop down a tree and I will spend the first four sharpening the ax."

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