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| Publisher | O'Reilly Media |
| ISBN 13 | 9781098156152 |
| ISBN 10 | 1098156153 |
| Author | John Berryman |
| Book Format | Paperback |
| Language | English |
| Book Description | 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 itDesign a complete prompt-crafting strategy for an applicationGather, triage, and present context elements to make an efficient promptMaster specific prompt-crafting techniques like few-shot learning, chain-of-thought prompting, and RAG |
| About the Author | John Berryman started out in Aerospace Engineering but soon found that he was more interested in math and software than in satellites and aircraft. He soon switched to software development, specializing in search and recommendation technologies, and not too long afterward co-authored Relevant Search. At GitHub John played a prominent role in moving code search to a new scalable infrastructure. Subsequently John joined the Data Science team, and then Copilot where he currently provides technical leadership and direction in Prompt Crafting work.Albert Ziegler is a principal machine learning engineer with a PhD in Mathematics and a home at GitHub Next, GitHub's innovation and future group. His main interests are fusion of deductive and intuitive reasoning to improve the software development experience. At GitHub Next, he was part of the trio that conceived and implemented GitHub Copilot, the first large scale product delivering generative AI for software development. His most recent projects include Copilot Radar and AI for Pull Requests. |
| Publication Date | 10 December 2024 |
| Number of Pages | 280 pages |
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