Prompt Engineering for LLMs
O'Reilly Media (Verlag)
978-1-0981-5615-2 (ISBN)
- Noch nicht erschienen (ca. Januar 2025)
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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
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.
Erscheint lt. Verlag | 28.1.2025 |
---|---|
Verlagsort | Sebastopol |
Sprache | englisch |
Maße | 178 x 233 mm |
Themenwelt | Informatik ► Software Entwicklung ► SOA / Web Services |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Mathematik / Informatik ► Informatik ► Web / Internet | |
ISBN-10 | 1-0981-5615-3 / 1098156153 |
ISBN-13 | 978-1-0981-5615-2 / 9781098156152 |
Zustand | Neuware |
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