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portada Prompt Engineering for Llms: The art and Science of Building Large Language Model-Based Applications
Type
Physical Book
Publisher
Author
Language
English
Pages
268
Format
Paperback
ISBN13
9781098156152
Edition No.
1

Prompt Engineering for Llms: The art and Science of Building Large Language Model-Based Applications

John Berryman; Albert Ziegler (Author) · O'reilly Media · Paperback

Prompt Engineering for Llms: The art and Science of Building Large Language Model-Based Applications - John Berryman; Albert Ziegler

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Synopsis "Prompt Engineering for Llms: The art and Science of Building Large Language Model-Based Applications"

Large language models (LLMs) promise unprecedented benefits. Well versed in common topics of human discourse, LLMs can make useful contributions to a large variety of tasks, especially now that the barrier for interacting with them has been greatly reduced. Potentially, any developer can harness the power of LLMs to tackle large classes of problems previously beyond the reach of automation. This book provides a solid foundation of LLM principles and explains how to apply them in practice. When first integrating LLMs into workflows, most developers struggle to coax useful insights from them. That's because communicating with AI is different from communicating with humans. This guide shows you how to present your problem in the model-friendly way called prompt engineering. With this book, you'll: Examine the user-program-AI-user model interaction loop Understand the influence of LLM architecture and learn how to best interact with it Design a complete prompt crafting strategy for an application that fits into the application context Gather and triage context elements to make an efficient prompt Formulate those elements so that the model processes them in the way that's desired Master specific prompt crafting techniques including few-shot learning, and chain-of-thought prompting

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