ChatGPT and Bard for Business Automation
Achieving AI-Driven Growth
Seiten
2023
Apress (Verlag)
978-1-4842-9851-0 (ISBN)
Apress (Verlag)
978-1-4842-9851-0 (ISBN)
Learning and using groundbreaking generative AI tools like ChatGPT and Google Bard can take some time. It’s a journey that requires patience and flexibility. This book is an indispensable guide for any developer who wants to be a part of the ChatGPT and Bard revolution.
ChatGPT and Bard represent an epochal event in the world of generative AI on par with the emergence of the Internet or the launch of the iPhone. But the impact could be even more transformative. No doubt, building applications with ChatGPT and Bard are quickly become strategic and a must-have. This is why developers must understand these technologies now.
You’ll start with a deep dive on ChatGPT and Bard and see how ChatGPT works with the transformer and diffusion models. The book also illustrates how to use the various APIs, such as GPT-4, ChatGPT, Bard, and Bedrock, focusing on the practical uses of these powerful technologies. This includes understanding embeddings, fine tuning ofthe models, using zero-shot and few-shot learning, and adjusting the parameters like temperature.
ChatGPT and Bard for Business Automation is your step-by-step tutorial on how to create apps for blog generation, sentiment analysis, language translation and integration.
What You Will Learn
See how generative AI models work, their uses cases, benefits, and risks.
Work with the various generative AI APIs such as GPT-4, ChatGPT, Bard, Bedrock and Anthropic.
Understand prompt engineering, embeddings, fine tuning, and zero-shot/no-shot learning.
Develop various applications, such as detecting sentiment.
Create blogs and translate languages.
Who This Book Is For
Data scientists and engineers who want to leverage generative AI APIs; software engineers and developers interested in generative AI and how to integrate the APIs into existing IT environments; start-up personnel who want to use generative AI.
ChatGPT and Bard represent an epochal event in the world of generative AI on par with the emergence of the Internet or the launch of the iPhone. But the impact could be even more transformative. No doubt, building applications with ChatGPT and Bard are quickly become strategic and a must-have. This is why developers must understand these technologies now.
You’ll start with a deep dive on ChatGPT and Bard and see how ChatGPT works with the transformer and diffusion models. The book also illustrates how to use the various APIs, such as GPT-4, ChatGPT, Bard, and Bedrock, focusing on the practical uses of these powerful technologies. This includes understanding embeddings, fine tuning ofthe models, using zero-shot and few-shot learning, and adjusting the parameters like temperature.
ChatGPT and Bard for Business Automation is your step-by-step tutorial on how to create apps for blog generation, sentiment analysis, language translation and integration.
What You Will Learn
See how generative AI models work, their uses cases, benefits, and risks.
Work with the various generative AI APIs such as GPT-4, ChatGPT, Bard, Bedrock and Anthropic.
Understand prompt engineering, embeddings, fine tuning, and zero-shot/no-shot learning.
Develop various applications, such as detecting sentiment.
Create blogs and translate languages.
Who This Book Is For
Data scientists and engineers who want to leverage generative AI APIs; software engineers and developers interested in generative AI and how to integrate the APIs into existing IT environments; start-up personnel who want to use generative AI.
Tom Taulli (@ttaulli) is the founder of OnePrompter.com, which provides online training for ChatGPT and Bard. He is also the author of various books, including Generative AI: How ChatGPT and Other AI Tools Will Revolutionize Business and Artificial Intelligence Basics: A Non-Technical Introduction.
Chapter 1. New World of Automation.- Chapter 2. ChatGPT.- Chapter 3. Bard.- Chapter 4. Prompt Engineering.- Chapter 5. Use Cases.- Chapter 6. Change Management.- Chapter 7. Understanding AI.- Chapter 8. Data.- Chapter 9. Risks.
| Erscheinungsdatum | 24.11.2023 |
|---|---|
| Zusatzinfo | 41 Illustrations, black and white; V, 180 p. 41 illus. |
| Verlagsort | Berkley |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Theorie / Studium ► Algorithmen | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | Anthropic • API • Bard • bedrock • ChatGPT • DALL-E • diffusion models • Embeddings • gpt-3 • GPT-4 • OpenAI • Transformer Models |
| ISBN-10 | 1-4842-9851-9 / 1484298519 |
| ISBN-13 | 978-1-4842-9851-0 / 9781484298510 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
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