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

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  • 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

Download Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs




Free audiobook downloads amazon Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs 9781098153434

Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. 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 models into their workflows, most developers struggle to coax reliable enough results from them to use in automated systems. Authors James Phoenix and Mike Taylor show you how a set of principles called prompt engineering can enable you to work effectively with AI. 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 between How AI model requests arise from transforming the application problem into a document completion problem in the model training domain The influence of LLM and diffusion model architecture—and how to best interact with it How these principles apply in practice in the domains of natural language processing, text and image generation, and code

Prompt Engineering for Generative AI: Future-Proof Inputs
Item Number. 364917953248 ; Book Title. Prompt Engineering for Generative AI: Future-Proof Inputs for Rel ; Publication Date. 2024-06-25 ; Accurate description.
Prompt Engineering for Generative AI (Future-Proof Inputs
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Future-Proof Inputs for Reliable AI Outputs by James Phoenix
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Future-Proof Inputs for Reliable AI Outputs (Paperback)
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What is prompt engineering
Financial Services Future-proof Why is prompt engineering important in generative AI? This supports more relevant and accurate AI outputs, highly 
Future-Proof Inputs for Reliable AI Outputs (Paperback)
Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs (Paperback). By James Phoenix, Mike Taylor. $79.99. Coming Soon - Available 
Prompt Engineering for Generative AI
May 16, 2024 —
What is the future of prompt engineering versus fine-tuning?
Prompt engineering is the process where you guide generative artificial intelligence (generative AI) solutions to generate desired outputs. Even 
Prompt Engineering for Generative AI (häftad)
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What Is Prompt Engineering?
Prompt engineering is the process of writing, refining and optimizing inputs to encourage generative AI systems to create specific, high-quality outputs.
Future-Proof Inputs for Reliable AI Outputs (Paperback)
Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs Cover Image. By James Phoenix, Mike Taylor. $79.99. Add to Cart Add to Wish 
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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Creating & Optimizing Interactions with Generative AI
May 30, 2024 —
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