Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based Applications - Brossura
Sinossi
Large language models (LLMs) are revolutionizing the world, promising to automate tasks and solve complex problems. A new generation of software applications are using these models as building blocks to unlock new potential in almost every domain, but reliably accessing these capabilities requires new skills. This book will teach you the art and science of prompt engineering-the key to unlocking the true potential of LLMs.
Industry experts John Berryman and Albert Ziegler share how to communicate effectively with AI, transforming your ideas into a language model-friendly format. By learning both the philosophical foundation and practical techniques, you'll be equipped with the knowledge and confidence to build the next generation of LLM-powered applications.
- Understand LLM architecture and learn how to best interact with it
- Design a complete prompt-crafting strategy for an application
- Gather, triage, and present context elements to make an efficient prompt
- Master specific prompt-crafting techniques like few-shot learning, chain-of-thought prompting, and RAG
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Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based Applications
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Paperback. Condizione: new. Paperback. 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 loopUnderstand the influence of LLM architecture and learn how to best interact with itDesign a complete prompt crafting strategy for an application that fits into the application contextGather and triage context elements to make an efficient promptFormulate those elements so that the model processes them in the way that's desiredMaster specific prompt crafting techniques including few-shot learning, and chain-of-thought prompting This book will teach you the art and science of prompt engineering-the key to unlocking the true potential of LLMs. Industry experts John Berryman and Albert Ziegler share how to communicate effectively with AI, transforming your ideas into a language model-friendly format. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781098156152
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