ChatGPT and Bard for Business Automation: Achieving AI-Driven Growth
- Добавил: literator
- Дата: 26-12-2023, 08:25
- Комментариев: 0
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Автор: Tom Taulli
Издательство: Apress
Год: 2023
Страниц: 181
Язык: английский
Формат: pdf (true), epub (true)
Размер: 10.1 MB
The launch of ChatGPT represents an epochal event. It’s 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
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