| Description |
1 online resource (181 p.) |
| Contents |
Intro -- Contents -- About the Author -- Chapter 1: New World of Automation -- The Impact -- Agenda -- Conclusion -- Chapter 2: ChatGPT -- OpenAI -- What Is ChatGPT? -- Custom Instructions -- Plugins -- Advanced Data Analysis -- Data Analytics -- Optical Character Recognition (OCR) -- Image Editing -- Web Browsing -- Usage Policies -- ChatGPT Enterprise -- Conclusion -- Chapter 3: Bard -- The Technology -- How Bard Works -- Tables -- Images -- Duet AI -- Alternatives -- Bing Chat -- Claude 2 -- HuggingChat -- Inflection AI -- Conclusion -- Chapter 4: Prompt Engineering |
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The Challenges with Prompt Engineering -- Hire a Prompt Engineer? -- Context -- Be Specific -- Instructions -- Zero and Few-Shot Prompting -- Parameters and OpenAI Playground -- Resources -- Conclusion -- Chapter 5: Use Cases -- Human Resources -- Legal -- Customer Support -- Sales -- Marketing -- Finance -- Project Management -- Product Development -- AI Code Development Tools -- AI Text-to-Image Systems -- Conclusion -- Chapter 6: Change Management -- Definition -- Types of Change Management -- The Culture -- Roles -- Change Advisory Board (CAB) -- Training -- Change Fatigue -- The Plan |
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Implementation -- Tools -- Boiling the Ocean -- Conclusion -- Chapter 7: Understanding AI -- Brief History -- What Is AI? -- Machine Learning -- Supervised Learning -- Unsupervised Learning -- Reinforcement Learning -- Deep Learning -- Flavors of Deep Learning -- The Issues with Deep Learning -- Generative AI -- What Makes Generative AI Different -- GANs -- VAEs -- Diffusion Models -- The Transformer -- Conclusion -- Chapter 8: Data -- Types of Data -- Understanding Big Data -- Database Systems -- The Cloud -- Data Strategy for AI -- Data Collection -- Data Evaluation -- Data Wrangling |
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Data Labeling -- How Much Data? -- Conclusion -- Chapter 9: Risks -- Bias and Discrimination -- Black Box -- Physical Safety -- Deepfakes -- Cybersecurity -- Privacy Laws and Regulations -- Junk Content -- The Cloud -- Data Problem -- Intellectual Property -- Conclusion -- Index |
| Summary |
The launch of ChatGPT represents an epochal event. Its on par with the emergence of the Internet or the launch of the iPhone. But the impact could be even more transformative. ChatGPT crossed over 100 million users in two months. This was the fastest to do so ever. It took TikTok nine months. No doubt, building applications with ChatGPT is quickly become strategic and a must-have. This is why developers must understand this technology and now. And this book will show how. It details how ChatGPT technology works, such as with the transformer and diffusion models. It also illustrates how to use the various APIs, such as GPT-4, ChatGPT, Bard, and Bedrock. This includes understanding embeddings, fine tuning of the models, using zero-shot and few-shot learning, and adjusting the parameters like temperature. This book focuses on the practical uses of this powerful technology. There are step-by-step tutorials on how to create apps for blog generation, sentiment analysis, language translation and integration. This book is an indispensable guide for any developer who wants to be a part of the ChatGPT revolution. What You Will Learn How generative AI models work, their uses cases, benefits and risks Learn about the various generative AI APIs like GPT-4, ChatGPT, Bard, Bedrock and Anthropic Learn about the elements of this technology like prompt engineering, embeddings, fine tuning, and zero-shot/no-shot learning See how to develop various applications, such as to detect sentiment, create blogs and translate languages Who This Book is For Data scientists or data engineers who want to learn how to leverage generative AI APIs, Software engineers or developers who are looking for a new job role in generative AI, Software engineers and developers who want to see how they can integrate generative AI APIs into existing IT environments, Founders or those who work at startups who want to see how to use generative AI |
| Subject |
Natural language processing (Computer science)
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Artificial intelligence.
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Business -- Data processing.
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artificial intelligence.
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Artificial intelligence.
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Business -- Data processing.
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Natural language processing (Computer science)
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| Form |
Electronic book
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| ISBN |
9781484298527 |
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1484298527 |
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