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Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs
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.
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.
Product details
Publisher : O'Reilly Media (25 Jun. 2024)
Language : English
Paperback : 422 pages
ISBN-10 : 109815343X
ISBN-13 : 978-1098153434
Dimensions : 17.78 x 2.18 x 23.34 cm
Best Sellers Rank: 29,776 in Books (See Top 100 in Books)
12 in Computer Architecture & Microprocessors
Customer reviews: 4.5
16 ratings
Publisher : O'Reilly Media (25 Jun. 2024)
Language : English
Paperback : 422 pages
ISBN-10 : 109815343X
ISBN-13 : 978-1098153434
Dimensions : 17.78 x 2.18 x 23.34 cm
Best Sellers Rank: 29,776 in Books (See Top 100 in Books)
12 in Computer Architecture & Microprocessors
Customer reviews: 4.5
16 ratings
Amazon Price History
This is our record of Amazon price changes for Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs (109815343X) since we began monitoring it.
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| Amazon | (Jun 14, 2026) | (Jun 14, 2026) | 0,00 ⏠(Jun 14, 2026) |
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