Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs by James Phoenix, Mike Taylor

- Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs
- James Phoenix, Mike Taylor
- Page: 422
- Format: pdf, ePub, mobi, fb2
- ISBN: 9781098153434
- Publisher: O'Reilly Media, Incorporated
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Prompt Engineering for Generative AI (Future-Proof Inputs Prefer to work with a human being when you order Prompt Engineering for Generative AI (Future-Proof Inputs for Reliable AI Outputs) books in bulk? Our Book Prompt Engineering for Generative AI: Future-Proof Inputs Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs. Autor: Phoenix James. Limba: english. Tip copertă: Moale. Număr de pagini Top 15 Best Prompt Engineering Books Apr 3, 2024 — Browse Books: Computers / Artificial Intelligence / Natural Browse Books: Computers / Artificial Intelligence / Natural Language Processing. Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Future-Proof Inputs for Reliable AI Outputs (Paperback) With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice. When first integrating LLMs and diffusion Prompt Engineering for Generative AI: Future-Proof Inputs When first integrating LLMs and diffusion models into their workflows, most developers struggle to coax reliable enough results from them to use in automated Future-Proof Inputs for Reliable AI Outputs (Paperback) Learn how to empower AI to work for you. This book explains: The structure of the interaction chain of your program's AI model and the fine-grained steps in James Phoenix - Prompt Engineering for Generative Ai Prompt Engineering for Generative Ai: Future-proof Inputs for Reliable Ai Outputs. amazon.co.uk. 19 8 Comments · Like Comment. Share. Copy Future-Proof Inputs for Reliable AI Outputs (Paperback) With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice. When first integrating LLMs and diffusion
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