1、The Art of Asking ChatGPT for High-QualityAnswersA Complete Guide to Prompt Engineering TechniquesIbrahim JohnNzunda Technologies Limited Copyright 2023 Ibrahim JohnAll rights reserved The characters and events portrayed in this book are fictitious.Any similarity to real persons,living or dead,is co

2、incidental and not intended by the author.No part of this book may be reproduced,or stored in a retrieval system,or transmitted in anyform or by any means,electronic,mechanical,photocopying,recording,or otherwise,withoutexpress written permission of the publisher.ISBN-13:9781234567890 ISBN-10:147712

3、3456 Cover design by:Art Painter Library of Congress Control Number:2018675309 Printed in the United States of AmericaTable of ContentsIntroductionChapter 1:Introduction to Prompt Engineering TechniquesWhat is Prompt engineering?Chapter 2:Instructions Prompt TechniqueExamples:Chapter 3:Role Promptin

4、gChapter 4:Standard PromptsChapter 5:Zero,One and Few Shot PromptingChapter 6:Lets think about this”promptChapter 7:Self-Consistency PromptChapter 8:Seed-word PromptChapter 9:Knowledge Generation promptChapter 10:Knowledge Integration promptsHow to use it with ChatGPT:Chapter 11:Multiple Choice prom

5、ptsChapter 12:Interpretable Soft PromptsChapter 13:Controlled Generation promptsChapter 14:Question-answering promptsChapter 15:Summarization promptsHow to use it with ChatGPT:Chapter 16:Dialogue promptsChapter 17:Adversarial promptsChapter 18:Clustering promptsHow to use it with ChatGPT:Chapter 19:

6、Reinforcement learning promptsChapter 20:Curriculum learning promptsChapter 21:Sentiment analysis promptsChapter 22:Named entity recognition promptsChapter 23:Text classification promptsChapter 24:Text generation promptsConclusionIntroduction I am thrilled to welcome you to my latest book,The Art of

7、 AskingChatGPT for High-Quality Answers:A complete Guide to PromptEngineering Techniques”.This book is a comprehensive guide to understanding andutilizing various prompt techniques used to generate high-qualityanswers from ChatGPT.We will explore how different prompt engineering techniquescan be use

8、d to achieve different goals.ChatGPT is a state-of-the-artlanguage model that is capable of generating human-like text.However,it is vital to understand the right way to ask ChatGPT inorder to get the high-quality outputs we desire.And that is the purpose of this book.Whether you are a normalperson,

9、a researcher,a developer,or simply someone who wants touse ChatGPT as his personal assistant in your field,this book iswritten for you.I have used simple language with on-point practicalexplanations,together with examples and prompt formulas onevery prompt technique.With this book,youll learn how to

10、 useprompt engineering techniques to control the output of ChatGPT andgenerate text that is tailored to your specific needs.Throughout this book,we also provide examples of how tocombine different prompt techniques to achieve more specificoutcomes.I hope that you will find this book informative and

11、enjoyable asmuch as I enjoyed writing it.Chapter 1:Introduction to Prompt EngineeringTechniquesWhat is Prompt engineering?Prompt engineering is the process of creating prompts or asking orinstructions that guide the output of a language model like ChatGPT.Itallows users to control the output of the

12、model and generate text thatis tailored to their specific needs.ChatGPT is a state-of-the-art language model that is capable ofgenerating human-like text.It is built on the transformer architecture,which allows it to handle large amounts of data and generate high-quality text.However,in order to get

13、 the best results from ChatGPT,it isimportant to understand how to properly prompt the model.Prompting allows users to control the output of the model andgenerate text that is relevant,accurate,and of high-quality.When working with ChatGPT,it is important to understand itscapabilities and limitation

14、s.The model is capable of generating human-like text,but it may notalways produce the desired output without proper guidance.This is where prompt engineering comes in,by providing clear andspecific instructions,you can guide the models output and ensure thatit is relevant.A prompt formula is a speci

15、fic format for the prompt,it is generallycomposed of 3 main elements:task:a clear and concise statement of what the prompt isasking the model to generate.instructions:the instructions that should be followed by themodel when generating text.role:the role that the model should take on when generating

16、text.In this book,we will explore the various prompt engineeringtechniques that can be used with ChatGPT.We will discuss thedifferent types of prompts,as well as how to use them to achievespecific goals you want.Chapter 2:Instructions Prompt TechniqueNow,let us start by exploring the“instructions pr

17、ompt technique”and how it can be used to generate high-quality text from ChatGPT.The instructions prompt technique is a way of guiding the output ofChatGPT by providing specific instructions for the model to follow.This technique is useful for ensuring that the output is relevant andhigh-quality.To

18、use the instructions prompt technique,you will need to providea clear and concise task for the model,as well as specific instructionsfor the model to follow.For example,if you are generating customer service responses,you would provide a task such as generate responses to customerinquiries and instr

19、uctions such as responses should be professionaland provide accurate information.Prompt formula:Generate task following these instructions:instructionsExamples:Generating customer service responses:Task:Generate responses to customer inquiriesInstructions:The responses should be professional andprov

20、ide accurate informationPrompt formula:Generate professional and accurateresponses to customer inquiries following these instructions:The responses should be professional and provide accurateinformation.Generating a legal document:Task:Generate a legal documentInstructions:The document should be in

21、compliance withrelevant laws and regulationsPrompt formula:Generate a legal document that iscompliant with relevant laws and regulations following theseinstructions:The document should be in compliance withrelevant laws and regulations.When using the instructions prompt technique,it is important tok

22、eep in mind that the instructions should be clear and specific.Thiswill help to ensure that the output is relevant and high-quality.Theinstructions prompt technique can be combined together with“roleprompting”and“seed-word prompting”as explained in the nextchapter to enhance the output of ChatGPT.Ch

23、apter 3:Role PromptingThe role prompting technique is a way of guiding the output ofChatGPT by providing a specific role for the model to take on.Thistechnique is useful for generating text that is tailored to a specificcontext or audience.To use the role prompting technique,you will need to provide

24、 aclear and specific role for the model to take on.For example,if you aregenerating customer service responses,you would provide a rolesuch as customer service representative.Prompt formula:Generate task as a roleExample:Generating customer service responses:Task:Generate responses to customer inqui

25、riesRole:Customer service representativePrompt formula:Generate responses to customer inquiriesas a customer service representative.Generating a legal document:Task:Generate a legal documentRole:LawyerPrompt formula:Generate a legal document as a lawyer.Using the role prompting technique with instru

26、ction prompting andseed-word prompting will enhance the output of ChatGPT.Here is an example of how the instruction prompting,roleprompting,and seed-word prompting techniques can be combined:Task:Generate a product description for a new smartphoneInstructions:The description should be informative,pe

27、rsuasive and highlight the unique features of thesmartphoneRole:Marketing representativeSeed-word:innovativePrompt formula:As a marketing representative,generate aninformative,persuasive product description that highlightsthe innovative features of the new smartphone.Thesmartphone has the following

28、features insert your features”In this example,the instruction prompting is used to ensure thatthe product description is informative and persuasive.The roleprompting is used to ensure that the description is written from theperspective of a marketing representative.And the seed-wordprompting is used

29、 to ensure that the description focuses on theinnovative features of the smartphone.Chapter 4:Standard PromptsStandard prompts are a simple way to guide the output ofChatGPT by providing a specific task for the model to complete.For example,if you want to generate a summary of a news article,you wou

30、ld provide a task such as summarize this news article.Prompt formula:Generate a taskExample:Generating a summary of a news article:Task:Summarize this news articlePrompt formula:Generate a summary of this news article Generating a product review:Task:Write a review of a new smartphonePrompt formula:

31、Generate a review of this new smartphoneAlso,Standard prompts can be combined with other techniqueslike role prompting and seed-word prompting to enhance the output ofChatGPT.Here is an example of how the standard prompts,role prompting,and seed-word prompting techniques can be combined:Task:Generat

32、e a product review for a new laptopInstructions:The review should be objective,informative andhighlight the unique features of the laptopRole:Tech expertSeed-word:powerfulPrompt formula:As a tech expert,generate an objective andinformative product review that highlights the powerfulfeatures of the n

33、ew laptop.In this example,the standard prompts technique is used to ensurethat the model generates a product review.The role prompting is usedto ensure that the review is written from the perspective of a techexpert.And the seedword prompting is used to ensure that the reviewfocuses on the powerful

34、features of the laptop.Chapter 5:Zero,One and Few Shot PromptingZero-shot,one-shot,and few-shot prompting are techniques usedto generate text from ChatGPT with minimal or no examples.Thesetechniques are useful when there is limited data available for aspecific task or when the task is new and not we

35、ll-defined.The zero-shot prompting technique is used when there are noexamples available for the task.The model is provided with a generaltask and it generates text based on its understanding of the task.The one-shot prompting technique is used when there is only oneexample available for the task.Th

36、e model is provided with theexample and generates text based on its understanding of theexample.The few-shot prompting technique is used when there are a limitednumber of examples available for the task.The model is provided withthe examples and generates text based on its understanding of theexampl

37、es.Prompt formula:Generate text based on number examplesExample:Generating a product description for a new product with noexamples available:Task:Write a product description for a new smartwatchPrompt formula:Generate a product description for this newsmartwatch with zero examplesGenerating a produc

38、t comparison with one exampleavailable:Task:Compare a new smartphone to the latest iPhonePrompt formula:Generate a product comparison of this newsmartphone with one example(latest iPhone)Generating a product review with few examples available:Task:Write a review of a new e-readerPrompt formula:Gener

39、ate a review of this new e-reader withfew examples(3 other e-readers)These techniques can be used to generate text based on amodels understanding of the task or examples provided.Chapter 6:Lets think about this”promptThe Lets think about this prompt is a technique used toencourage ChatGPT to generat

40、e text that is reflective andcontemplative.This technique is useful for tasks such as writingessays,poetry,or creative writing.The prompt formula for the Lets think about this prompt is simplythe phrase Lets think about this followed by a topic or question.Example:Generating a reflective essay:Task:

41、Write a reflective essay on the topic of personal growthPrompt formula:Lets think about this:personal growthGenerating a poem:Task:Write a poem about the changing seasonsPrompt formula:Lets think about this:the changing seasonsThis prompt is asking for a conversation or discussion about aspecific to

42、pic or idea.The speaker is inviting ChatGPT to engage in adialogue about the subject at hand.The model is provided with a prompt,which serves as the startingpoint for the conversation or text generation.The model then uses its training data and algorithms to generate aresponse that is relevant to th

43、e prompt.This technique allowsChatGPT to generate contextually appropriate and coherent textbased on the provided prompt.To use the Lets think about this prompt technique with ChatGPT,you can follow these steps:1.Identify the topic or idea you want to discuss.2.Formulate a prompt that clearly states

44、 the topic or idea,andstarts the conversation or text generation.3.Preface the prompt with Lets think about or Lets discussto indicate that youre initiating a conversation or discussion.Here are a few examples of prompts using this technique:Prompt:Lets think about the impact of climate change onagr

45、iculturePrompt:Lets discuss the current state of artificial intelligencePrompt:Lets talk about the benefits and drawbacks of remoteworkYou can also add a open-ended question,statement or a piece oftext that you want the model to continue or build upon.Once you provide the prompt,the model will use i

46、ts training dataand algorithms to generate a response that is relevant to the promptand will continue the conversation in a coherent way.This unique prompt helps ChatGPT to give answers in differentperspectives and angles,resulting in more dynamic and informativepassages.The steps to use the prompt

47、are simple and easy to follow,and itcan truly make a difference in your writing.Give it a try and see foryourselfChapter 7:Self-Consistency PromptThe Self-Consistency prompt is a technique used to ensure thatthe output of ChatGPT is consistent with the input provided.Thistechnique is useful for task

48、s such as fact-checking,data validation,orconsistency checking in text generation.The prompt formula for the Self-Consistency prompt is the inputtext followed by the instruction Please ensure the following text isself-consistentAlternatively,the model can be prompted to generate text that isconsiste

49、nt with the provided input.Prompt Examples and their Formula:Example 1:Text GenerationTask:Generate a product reviewInstructions:The review should be consistent with theproduct information provided in the inputPrompt formula:Generate a product review that isconsistent with the following product info

50、rmation insertproduct informationExample 2:Text SummarizationTask:Summarize a news articleInstructions:The summary should be consistent with theinformation provided in the articlePrompt formula:Summarize the following news article in away that is consistent with the information provided insertnews a

51、rticleExample 3:Text CompletionTask:Complete a sentenceInstructions:The completion should be consistent with thecontext provided in the inputPrompt formula:Complete the following sentence in a waythat is consistent with the context provided insert sentenceExample 4:1.Fact-checking:Task:Check for con

52、sistency in a given news articleInput text:The article states that the population of the city is5 million,but later on,it says that the population is 7 million.Prompt formula:Please ensure the following text is self-consistent:The article states that the population of the city is5 million,but later

53、on,it says that the population is 7 million.2.Data validation:Task:Check for consistency in a given data setInput text:The data shows that the average temperature inJuly is 30 degrees,but the minimum temperature is recordedas 20 degrees.Prompt formula:Please ensure the following text is self-consist

54、ent:The data shows that the average temperature inJuly is 30 degrees,but the minimum temperature is recordedas 20 degrees.Chapter 8:Seed-word PromptThe Seed-word prompt is a technique used to control the output ofChatGPT by providing it with a specific seed-word or phrase.The prompt formula for the

55、Seed-word prompt is the seed-word orphrase followed by the instruction Please generate text based on thefollowing seed-wordExamples:Text generation:Task:Generate a story about a dragonSeed-word:DragonPrompt formula:Please generate text based on the followingseed-word:DragonLanguage Translation:Task:

56、Translate a sentence from English to SpanishSeed-word:HelloPrompt formula:Please generate text based on the followingseed-word:HelloThis technique allows the model to generate text that is related tothe seed word and expand on it.Its a way to control the modelsgenerated text to be related to a certa

57、in topic or context.The Seed-word prompt can be combined with role prompting andinstruction prompting to create more specific and targeted generatedtext.By providing a seed word or phrase,the model can generate textthat is related to that seed word or phrase and by providinginformation about the des

58、ired output and role,the model can generatetext in a specific style or tone that is consistent with the role orinstructions.This allows for more control over the generated text andcan be useful for a wide range of applicationsHere are Prompt Examples and their Formula:Example 1:Text GenerationTask:G

59、enerate a poemInstructions:The poem should be related to the seed wordlove and should be written in the style of a sonnet.Role:PoetPrompt formula:Generate a sonnet related to the seed wordlove as a poetExample 2:Text CompletionTask:Complete a sentenceInstructions:The completion should be related to

60、the seedword science and should be written in the style of a researchpaperRole:ResearcherPrompt formula:Complete the following sentence in a waythat is related to the seed word science and in the style of aresearch paper as a researcher:insert sentenceExample 3:Text SummarizationTask:Summarize a new

61、s articleInstructions:The summary should be related to the seed wordpolitics and should be written in a neutral and unbiased toneRole:JournalistPrompt formula:Summarize the following news article in away that is related to the seed word politics in a neutral andunbiased tone as a journalist:insert n

62、ews articleChapter 9:Knowledge Generation promptThe Knowledge Generation prompt is a technique used to elicitnew and original information from ChatGPT.The prompt formula for the Knowledge Generation prompt isPlease generate new and original information about X where X is thetopic of interest.This is

63、 a technique that uses a models pre-existing knowledge togenerate new information or to answer a question.To use this prompt with ChatGPT,the model should be providedwith a question or topic as input,along with a prompt that specifies thetask or goal for the generated text.The prompt should includei

64、nformation about the desired output,such as the type of text to begenerated and any specific requirements or constraints.Here are Prompt Examples and their Formula:Example 1:Knowledge GenerationTask:Generate new information about a specific topicInstructions:The generated information should be accur

65、ateand relevant to the topicPrompt formula:Generate new and accurate informationabout specific topic Example 2:Question AnsweringTask:Answer a questionInstructions:The answer should be accurate and relevant tothe questionPrompt formula:Answer the following question:insertquestionExample 3:Knowledge

66、IntegrationTask:Integrate new information with the existing knowledgeInstructions:The integration should be accurate and relevantto the topicPrompt formula:Integrate the following information with theexisting knowledge about specific topic:insert newinformation Example 4:Data Analysis:Task:Generate

67、insights about customer behavior from a givendatasetPrompt formula:Please generate new and originalinformation about customer behavior from this datasetChapter 10:Knowledge Integration promptsThis technique uses a models pre-existing knowledge to integratenew information or to connect different piec

68、es of information.This technique is useful for combining existing knowledge with newinformation to generate a more comprehensive understanding of aspecific topic.How to use it with ChatGPT:The model should be provided with a new information and theexisting knowledge as input,along with a prompt that

69、 specifies thetask or goal for the generated text.The prompt should includeinformation about the desired output,such as the type of text to begenerated and any specific requirements or constraints.Prompt Examples and their Formula:Example 1:Knowledge IntegrationTask:Integrate new information with th

70、e existing knowledgeInstructions:The integration should be accurate and relevantto the topicPrompt formula:Integrate the following information with theexisting knowledge about specific topic:insert newinformationExample 2:Connecting pieces of informationTask:Connect different pieces of informationIn

71、structions:The connections should be relevant and logicalPrompt formula:Connect the following pieces of informationin a way that is relevant and logical:insert information 1 insertinformation 2Example 3:Updating existing knowledgeTask:Update existing knowledge with new informationInstructions:The up

72、dated information should be accurate andrelevantPrompt formula:Update the existing knowledge aboutspecific topic with the following information:insert newinformationChapter 11:Multiple Choice promptsThis technique presents a model with a question or task and a setof predefined options as potential a

73、nswers.This technique is useful for generating text that is limited to aspecific set of options and can be used for question-answering,textcompletion and other tasks.The model can generate text that islimited to the predefined options.To use the multiple-choice prompt with ChatGPT,the model shouldbe

74、 provided with a question or task as input,along with a set ofpredefined options as potential answers.The prompt should alsoinclude information about the desired output,such as the type of textto be generated and any specific requirements or constraints.Prompt Examples and their Formula:Example 1:Qu

75、estion AnsweringTask:Answer a multiple-choice questionInstructions:The answer should be one of the predefinedoptionsPrompt formula:Answer the following question by selectingone of the following options:insert question insert option 1insert option 2 insert option 3Example 2:Text completionTask:Comple

76、te a sentence with one of the predefined optionsInstructions:The completion should be one of the predefinedoptionsPrompt formula:Complete the following sentence byselecting one of the following options:insert sentence insertoption 1 insert option 2 insert option 3Example 3:Sentiment analysisTask:Cla

77、ssify a text as positive,neutral or negativeInstructions:The classification should be one of thepredefined optionsPrompt formula:Classify the following text as positive,neutralor negative by selecting one of the following options:insert textpositive neutral negativeChapter 12:Interpretable Soft Prom

78、ptsInterpretable soft prompts is a technique that allows to control themodels generated text while providing some flexibility to the model.It is done by providing the model with a set of controlled inputs andsome additional information about the desired output.This techniqueallows for more interpret

79、able and controllable generated text.Prompt Examples and their Formula:Example 1:Text generationTask:Generate a storyInstructions:The story should be based on a given set ofcharacters and a specific themePrompt formula:Generate a story based on the followingcharacters:insert characters and the theme

80、:insert themeExample 2:Text completionTask:Complete a sentenceInstructions:The completion should be in the style of aspecific authorPrompt formula:Complete the following sentence in the styleof specific author:insert sentenceExample 3:Language modelingTask:Generate text in a specific styleInstructio

81、ns:The text should be in the style of a specific periodPrompt formula:Generate text in the style of specific period:insert contextChapter 13:Controlled Generation promptsControlled generation prompts are techniques that allows togenerate text with a high level of control over the output.This is achi

82、eved by providing the model with a specific set ofinputs,such as a template,a specific vocabulary,or a set ofconstraints,that can be used to guide the generation process.Here are some Prompt Examples and their Formula:Example 1:Text generationTask:Generate a storyInstructions:The story should be bas

83、ed on a specific templatePrompt formula:Generate a story based on the followingtemplate:insert templateExample 2:Text completionTask:Complete a sentenceInstructions:The completion should use a specific vocabularyPrompt formula:Complete the following sentence using thefollowing vocabulary:insert voca

84、bulary:insert sentenceExample 3:Language modelingTask:Generate text in a specific styleInstructions:The text should follow a specific set ofgrammatical rulesPrompt formula:Generate text that follows the followinggrammatical rules:insert rules:insert contextBy providing the model with a specific set

85、of inputs that can beused to guide the generation process,controlled generation promptsallows more controllable and predictable generated textChapter 14:Question-answering promptsQuestion-answering prompts is a technique that allows a model togenerate text that answers a specific question or task.Th

86、is isachieved by providing the model with a question or task as input,along with any additional information that may be relevant to thequestion or task.Some Prompt Examples and their Formula are;Example 1:Factual question answeringTask:Answer a factual questionInstructions:The answer should be accur

87、ate and relevantPrompt formula:Answer the following factual question:insertquestionExample 2:DefinitionTask:Provide the definition of a wordInstructions:The definition should be precisePrompt formula:Define the following word:insert wordExample 3:Information RetrievalTask:Retrieve information from a

88、 specific sourceInstructions:The retrieved information should be relevantPrompt formula:Retrieve information about specific topicfrom the following source:insert sourceThis can be useful for tasks such as question-answering andinformation retrieval.Chapter 15:Summarization promptsSummarization promp

89、ts is a technique that allows a model togenerate a shorter version of a given text while retaining its mainideas and information.This is achieved by providing the model with a longer text as inputand asking it to generate a summary of that text.This technique is useful for tasks such as text summari

90、zation andinformation compression.How to use it with ChatGPT:The model should be provided with a longer text as input andasked to generate a summary of that text.The prompt should alsoinclude information about the desired output,such as the desiredlength of the summary and any specific requirements

91、or constraints.Prompt Examples and their Formula:Example 1:Article summarizationTask:Summarize a news articleInstructions:The summary should be a brief overview of themain points of the articlePrompt formula:Summarize the following news article in oneshort sentence:insert articleExample 2:Meeting no

92、tesTask:Summarize a meeting transcriptInstructions:The summary should highlight the main decisionsand actions from the meetingPrompt formula:Summarize the following meeting transcriptby listing the main decisions and actions taken:insert transcriptExample 3:Book SummaryTask:Summarize a bookInstructi

93、ons:The summary should be a brief overview of themain points of the bookPrompt formula:Summarize the following book in one shortparagraph:insert book titleChapter 16:Dialogue promptsDialogue prompts is a technique that allows a model to generatetext that simulates a conversation between two or more

94、entities.Byproviding the model with a context and a set of characters or entities,along with their roles and backgrounds,and asking the model togenerate dialogue between themTherefore,the model should be provided with a context and a setof characters or entities,along with their roles and background

95、s.Themodel should also be provided with information about the desiredoutput,such as the type of conversation or dialogue and any specificrequirements or constraints.Prompt Examples and their Formula:Example 1:Dialogue generationTask:Generate a conversation between two charactersInstructions:The conv

96、ersation should be natural and relevantto the given contextPrompt formula:Generate a conversation between thefollowing characters insert characters in the following contextinsert contextExample 2:Story writingTask:Generate a dialogue in a storyInstructions:The dialogue should be consistent with thec

97、haracters and events of the storyPrompt formula:Generate a dialogue between the followingcharacters insert characters in the following story insert storyExample 3:Chatbot developmentTask:Generate a dialogue for a customer service chatbotInstructions:The dialogue should be professional and provideacc

98、urate informationPrompt formula:Generate a professional and accuratedialogue for a customer service chatbot,when the customer asksabout insert topicHence this technique is useful for tasks such as dialoguegeneration,story writing,and chatbot development.Chapter 17:Adversarial promptsAdversarial prom

99、pts is a technique that allows a model to generatetext that is resistant to certain types of attacks or biases.Thistechnique can be used to train models that are more robust andresistant to certain types of attacks or biases.To use adversarial prompts with ChatGPT,the model should beprovided with a

100、prompt that is designed to be difficult for the model togenerate text that is consistent with the desired output.The promptshould also include information about the desired output,such as thetype of text to be generated and any specific requirements orconstraints.Prompt Examples and their Formula:Ex

101、ample 1:Adversarial prompt for text classificationTask:Generate text that is classified as a specific labelInstructions:The generated text should be difficult to classifyas the specific labelPrompt formula:Generate text that is difficult to classify asinsert labelExample 2:Adversarial prompt for sen

102、timent analysisTask:Generate text that is difficult to classify as a specificsentimentInstructions:The generated text should be difficult to classifyas the specific sentimentPrompt formula:Generate text that is difficult to classify ashaving the sentiment of insert sentimentExample 3:Adversarial pro

103、mpt for language translationTask:Generate text that is difficult to translateInstructions:The generated text should be difficult to translateto the target languagePrompt formula:Generate text that is difficult to translate toinsert target languageChapter 18:Clustering promptsClustering prompts is a

104、technique that allows a model to groupsimilar data points together based on certain characteristics orfeatures.This is achieved by providing the model with a set of data pointsand asking it to group them into clusters based on certaincharacteristics or features.This technique is useful for tasks suc

105、h as data analysis,machinelearning,and natural language processing.How to use it with ChatGPT:The model should be provided with a set of data points and askedto group them into clusters based on certain characteristics orfeatures.The prompt should also include information about thedesired output,suc

106、h as the number of clusters to be generated andany specific requirements or constraints.Prompt Examples and their Formula:Example 1:Clustering of customer reviewsTask:Group similar customer reviews togetherInstructions:The reviews should be grouped based onsentimentPrompt formula:Group the following

107、 customer reviews intoclusters based on sentiment:insert reviewsExample 2:Clustering of news articlesTask:Group similar news articles togetherInstructions:The articles should be grouped based on topicPrompt formula:Group the following news articles intoclusters based on topic:insert articlesExample

108、3:Clustering of scientific papersTask:Group similar scientific papers togetherInstructions:The papers should be grouped based onresearch areaPrompt formula:Group the following scientific papers intoclusters based on research area:insert papersChapter 19:Reinforcement learning promptsReinforcement le

109、arning prompts is a technique that allows a modelto learn from its past actions and improve its performance over time.To use reinforcement learning prompts with ChatGPT,the modelshould be provided with a set of inputs and rewards,and allowed toadjust its behavior based on the rewards it receives.The

110、 promptshould also include information about the desired output,such as thetask to be accomplished and any specific requirements or constraints.This technique is useful for tasks such as decision making,gameplaying,and natural language generation.Prompt Examples and their Formula:Example 1:Reinforce

111、ment learning for text generationTask:Generate text that is consistent with a specific styleInstructions:The model should adjust its behavior based onthe rewards it receives for generating text that is consistent withthe specific stylePrompt formula:Use reinforcement learning to generate textthat is

112、 consistent with the following style insert styleExample 2:Reinforcement learning for language translationTask:Translate text from one language to anotherInstructions:The model should adjust its behavior based onthe rewards it receives for producing accurate translationsPrompt formula:Use reinforcem

113、ent learning to translate thefollowing text insert text from insert language to insertlanguageExample 3:Reinforcement learning for question answeringTask:Generate answer to a questionInstructions:The model should adjust its behavior based onthe rewards it receives for producing accurate answersPromp

114、t formula:Use reinforcement learning to generate ananswer to the following question insert questionChapter 20:Curriculum learning promptsCurriculum learning is a technique that allows a model to learn acomplex task by first training on simpler tasks and graduallyincreasing the difficulty.To use curr

115、iculum learning prompts with ChatGPT,the modelshould be provided with a sequence of tasks that gradually increase indifficulty.The prompt should also include information about thedesired output,such as the final task to be accomplished and anyspecific requirements or constraints.This technique is us

116、eful for tasks such as natural languageprocessing,image recognition,and machine learning.Prompt Examples and their Formula:Example 1:Curriculum learning for text generationTask:Generate text that is consistent with a specific styleInstructions:The model should be trained on simpler stylesbefore movi

117、ng on to more complex stylesPrompt formula:Use curriculum learning to generate text thatis consistent with the following styles insert styles in thefollowing order insert orderExample 2:Curriculum learning for language translationTask:Translate text from one language to anotherInstructions:The model

118、 should be trained on simplerlanguages before moving on to more complex languagesPrompt formula:Use curriculum learning to translate textfrom the following languages insert languages in the followingorder insert orderExample 3:Curriculum learning for question answeringTask:Generate answer to a quest

119、ionInstructions:The model should be trained on simplerquestions before moving on to more complex questionsPrompt formula:Use curriculum learning to generateanswers to the following questions insert questions in thefollowing order insert orderChapter 21:Sentiment analysis promptsSentiment analysis is

120、 a technique that allows a model to determinethe emotional tone or attitude of a piece of text,such as whether it ispositive,negative,or neutral.To use sentiment analysis prompts with ChatGPT,the modelshould be provided with a piece of text and asked to classify it basedon its sentiment.The prompt s

121、hould also include information about the desiredoutput,such as the type of sentiment to be detected(e.g.positive,negative,neutral)and any specific requirements or constraints.Prompt Examples and their Formula:Example 1:Sentiment analysis of customer reviewsTask:Determine the sentiment of customer re

122、viewsInstructions:The model should classify the reviews aspositive,negative,or neutralPrompt formula:Perform sentiment analysis on the followingcustomer reviews insert reviews and classify them as positive,negative,or neutral.Example 2:Sentiment analysis of tweetsTask:Determine the sentiment of twee

123、tsInstructions:The model should classify the tweets as positive,negative,or neutralPrompt formula:Perform sentiment analysis on the followingtweets insert tweets and classify them as positive,negative,orneutral.Example 3:Sentiment analysis of product reviewsTask:Determine the sentiment of product re

124、viewsInstructions:The model should classify the reviews aspositive,negative,or neutralPrompt formula:Perform sentiment analysis on the followingproduct reviews insert reviews and classify them as positive,negative,or neutral.This technique is useful for tasks such as natural languageprocessing,custo

125、mer service,and market research.Chapter 22:Named entity recognition promptsNamed entity recognition(NER)is a technique that allows a modelto identify and classify named entities in text,such as people,organizations,locations,and dates.To use named entity recognition prompts with ChatGPT,the modelsho

126、uld be provided with a piece of text and asked to identify andclassify named entities within the text.The prompt should also include information about the desiredoutput,such as the types of named entities to be identified(e.g.people,organizations,locations,dates)and any specific requirementsor const

127、raints.Prompt Examples and their Formula:Example 1:Named entity recognition in a news articleTask:Identify and classify named entities in a news articleInstructions:The model should identify and classify people,organizations,locations,and datesPrompt formula:Perform named entity recognition on thefo

128、llowing news article insert article and identify and classifypeople,organizations,locations,and dates.Example 2:Named entity recognition in a legal documentTask:Identify and classify named entities in a legal documentInstructions:The model should identify and classify people,organizations,locations,

129、and datesPrompt formula:Perform named entity recognition on thefollowing legal document insert document and identify andclassify people,organizations,locations,and dates.Example 3:Named entity recognition in a research paperTask:Identify and classify named entities in a research paperInstructions:Th

130、e model should identify and classify people,organizations,locations,and datesPrompt formula:Perform named entity recognition on thefollowing research paper insert paper and identify and classifypeople,organizations,locations,and dates.Chapter 23:Text classification promptsText classification is a te

131、chnique that allows a model to categorizetext into different classes or categories.This technique is useful fortasks such as natural language processing,text analytics,andsentiment analysis.Its important to note that Text classification is different fromsentiment analysis.Sentiment analysis specific

132、ally focus ondetermining the sentiment or emotion expressed in text.This could include determining whether the text expresses apositive,negative,or neutral sentiment.Sentiment analysis is oftenused in the context of customer reviews,social media posts,and otherforms of text where the sentiment expre

133、ssed is important.To use text classification prompts with ChatGPT,the model shouldbe provided with a piece of text and asked to classify it based onpredefined categories or labels.The prompt should also includeinformation about the desired output,such as the number of classesor categories,and any sp

134、ecific requirements or constraints.Prompt Examples and their Formula:Example 1:Text classification of customer reviewsTask:Classify customer reviews into different categories suchas electronics,clothing and furnitureInstructions:The model should classify the reviews based ontheir contentPrompt formu

135、la:Perform text classification on the followingcustomer reviews insert reviews and classify them into differentcategories such as electronics,clothing and furniture based ontheir content.Example 2:Text classification of news articlesTask:Classify news articles into different categories such assports

136、,politics,and entertainmentInstructions:The model should classify the articles based ontheir contentPrompt formula:Perform text classification on the followingnews articles insert articles and classify them into differentcategories such as sports,politics,and entertainment based ontheir content.Exam

137、ple 3:Text classification of emailsTask:Classify emails into different categories such as spam,important,or urgentInstructions:The model should classify the emails based ontheir content and senderPrompt formula:Perform text classification on the followingemails insert emails and classify them into d

138、ifferent categoriessuch as spam,important,or urgent based on their content andsender.Chapter 24:Text generation promptsText generation prompts are related to several other prompttechniques mentioned in this book,such as:Zero,One and Few ShotPrompting,Controlled generation prompts,Translation prompts

139、,Language modeling prompts,Sentence completion prompts.All these prompts are related because they all involve generatingtext,but they differ in the way the text is generated and the specificrequirements or constraints that are placed on the generated text.Text generation prompts can be used to fine-

140、tune a pre-trainedmodel or to train a new model for specific tasks.Prompt Examples and their Formula:Example 1:Text generation for story writingTask:Generate a story based on a given promptInstructions:The story should be at least 1000 words andinclude a specific set of characters and a plotPrompt f

141、ormula:Generate a story of at least 1000 words,including characters insert characters and a plot insert plotbased on the following prompt insert prompt.Example 2:Text generation for language translationTask:Translate a given text into another languageInstructions:The translation should be accurate a

142、nd idiomaticPrompt formula:Translate the following text insert text intoinsert target language and make sure that it is accurate andidiomatic.Example 3:Text generation for text completionTask:Complete a given textInstructions:The generated text should be coherent andconsistent with the input textPro

143、mpt formula:Complete the following text insert text andmake sure that it is coherent and consistent with the inputtext.Chapter 26:Word prediction promptsConclusionAs weve explored throughout this book,prompt engineering is apowerful tool to get high-quality answers from language models likeChatGPT.B

144、y carefully crafting prompts that incorporate varioustechniques,we can guide the model to generate text that is tailored toour specific needs and requirements.In chapter 2,we looked at how instructions prompts can be used toprovide clear and specific guidance to the model.In chapter 3,weexplored how

145、 role prompts can be used to generate text in a specificvoice or style.In chapter 4,we examined how standard prompts canbe used as a starting point for fine-tuning the models performance.We also looked at several advanced prompt techniques such asZero,One and Few Shot Prompting,Self-Consistency,Seed

146、-wordPrompt,Knowledge Generation prompt,Knowledge Integrationprompts,Multiple Choice prompts,Interpretable Soft Prompts,Controlled generation prompts,Question-answering prompts,Summarization prompts,Dialogue prompts,Adversarial prompts,Clustering prompts,Reinforcement learning prompts,Curriculumlear

147、ning prompts,Sentiment analysis prompts,Named entityrecognition prompts,and Text classification promptsEach of these techniques can be used in different ways to achievea wide range of different results,and as you continue to work withChatGPT and other language models,its worth experimenting withdiff

148、erent combinations of techniques to see what works best for yourspecific use case.Lastly you can check to see other books I have written on othertopics.Thanks for reading the entire book.See you in my other books.About The AuthorIbrahim John Ibrahim John is the author of The Art of Asking ChatGPT fo

149、r High-Quality Answers:A Complete Guide to Prompt EngineeringTechniques.He was born in Tanzania and is a well-known figure in the field oftechnology and business.He is the founder of three successful companies:NzundaTechnologies Limited,Kingbest Companye Limited and AgrasaAgriculture Limited.With hi

150、s extensive knowledge and experience in the field,Ibrahimbrings a unique perspective to the topic of prompt engineering and itsapplications in language modeling.He is passionate about sharing hisknowledge and expertise with others and is dedicated to helpingpeople understand and utilize the power of ChatGPT and other state-of-the-art language models.