book

Modern Generative AI with ChatGPT and OpenAI Models

by Valentina Alto

May 2023

Beginner to intermediate

286 pages

6h 26m

English

Packt Publishing

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ContributorsAbout the authorAbout the reviewer
Who this book is forWhat this book coversTo get the most out of this bookDownload the example code filesDownload the color imagesConventions usedGet in touchShare Your ThoughtsDownload a free PDF copy of this book
Introducing generative AIDomains of generative AIText generationImage generationMusic generationVideo generationThe history and current status of researchSummaryReferences
Technical requirementsWhat is OpenAI?An overview of OpenAI model familiesRoad to ChatGPT: the math of the model behind itThe structure of RNNsThe main limitations of RNNsOvercoming limitations – introducing transformersGPT-3ChatGPT: the state of the artSummaryReferences
Setting up a ChatGPT accountFamiliarizing yourself with the UIOrganizing chatsSummaryReferences
What is a prompt and why is it important?Zero-, one-, and few-shot learning – typical of transformers modelsPrinciples of well-defined prompts to obtain relevant and consistent resultsAvoiding the risk of hidden bias and taking into account ethical considerations in ChatGPTSummaryReferences
Technical requirementsChatGPT as a daily assistantGenerating textImproving writing skills and translationQuick information retrieval and competitive intelligenceSummary
Why ChatGPT for developers?Generating, optimizing, and debugging codeGenerating documentation and code explainabilityUnderstanding ML model interpretabilityTranslation among different programming languagesSummary

Technical requirementsMarketers’ need for ChatGPTNew product development and the go-to-market strategyA/B testing for marketing comparisonBoosting Search Engine Optimization (SEO)Sentiment analysis to improve quality and increase customer satisfactionSummary
Researchers’ need for ChatGPTBrainstorming literature for your studyProviding support for the design and framework of your experimentGenerating and formatting a bibliographyGenerating a presentation of the studySummaryReferences
Technical requirementsOpenAI and Microsoft for enterprise-level AI – introducing Azure OpenAIMicrosoft AI backgroundAzure OpenAI ServiceExploring PlaygroundWhy introduce a public cloud?Understanding responsible AIMicrosoft’s journey toward responsible AIAzure OpenAI and responsible AISummaryReferences
Technical requirementsHow Azure OpenAI is being used in enterprisesContract analyzer and generatorIdentifying key clausesAnalyzing languageFlagging potential issuesProviding contract templatesFrontend with StreamlitUnderstanding call center analyticsParameter extractionSentiment analysisClassification of customers’ requestsImplementing the frontend with StreamlitExploring semantic searchDocument embedding using LangChain modulesCreating a frontend for StreamlitSummaryReferences
Recap of what we have learned so farThis is just the beginningThe advent of multimodal large language modelsMicrosoft Bing and the Copilot systemThe impact of generative technologies on industries – a disruptive forceUnveiling concerns about Generative AIElon Musk calls for stopping developmentChatGPT was banned in Italy by the Italian “Garante della Privacy”Ethical implications of Generative AI and why we need Responsible AIWhat to expect in the near futureSummaryReferences
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Publisher Resources

ISBN: 9781805123330Supplemental Content