Book Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs PDF Download - 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 or Read Online Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs Free Book (PDF ePub Mobi) by James Phoenix, Mike Taylor
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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
Future-Proof Inputs for Reliable AI Outputs - Euphrates
Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs · The structure of the interaction chain of your program's AI model and the
Prompt Engineering for Generative AI: Future-Proof Inputs
Придбати книгу Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs 1st Edition автора James Phoenix, Mike Taylor за ціною:
Prompt Engineering for Generative AI: Future-Proof Inputs
Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs (Paperback) prompt engineering can enable you to work effectively with AI.
Prompt Engineering for Generative AI
Prompt Engineering for Generative AI. Future-Proof Inputs for Reliable AI Outputs. Mike Taylor author James Phoenix author. Format:Paperback. Publisher:O'Reilly
Future-Proof Inputs for Reliable AI Outputs
Acheter le livre Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs par james phoenix,mike taylor à Indigo.
Future-Proof Inputs for Reliable AI Outputs (Paperback)
Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs (Paperback) PRE-ORDER NOW! Description. Large language models (LLMs) and
Prompt Engineering for Generative AI by James Phoenix
May 31, 2024 —
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
Prompt Engineering for Generative AI: Future-Proof Inputs
Item Number. 364927010284 ; Book Title. Prompt Engineering for Generative AI: Future-Proof Inputs for Rel ; Publication Date. 2024-06-25 ; Accurate description.
Prompt Engineering for Generative AI - Prince Books
Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs ; Publication Date: June 25th, 2024 ; Publisher: O'Reilly Media ; ISBN:.
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
Prompt Engineering for Generative AI: Future-Proof Inputs
Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs by James Phoenix, Mike Taylor, 396 pages, 2024-06-25. Read It Now.
AI Prompt Engineering Isn't the Future
Jun 6, 2023 —
Prompt Engineering for Generative AI: Future-Proof Inputs
書名：Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs，ISBN：109815343X，作者：Phoenix, James, Taylor, Mike，