Valliappa Lakshmanan: Generative AI Design Patterns, Kartoniert / Broschiert
Generative AI Design Patterns
- Solutions to Common Challenges When Building Genai Agents and Applications
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- Verlag:
- O'Reilly Media, 11/2025
- Einband:
- Kartoniert / Broschiert
- Sprache:
- Englisch
- ISBN-13:
- 9798341622661
- Artikelnummer:
- 12429731
- Umfang:
- 370 Seiten
- Erscheinungstermin:
- 18.11.2025
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
Generative AI enables powerful new capabilities, but they come with some serious limitations that you'll have to tackle to ship a reliable application or agent. Luckily, experts in the field are already hard at work compiling a library of tried-and-true design patterns to address the challenges you're likely to encounter when building applications using LLMs and other GenAI models--hallucinations, nondeterministic answers, and knowledge cutoffs among them. You'll find 31 of the most essential here.
Authors Valliappa Lakshmanan and Hannes Hapke codify advances in research and real-world experience into advice that you can readily incorporate into your projects. Each detailed explanation includes a description of the problem, a proven pattern to solve it, an example, and a discussion of potential trade-offs. Whether you read it cover to cover for inspiration or use it as a daily reference, this practical guide will help you troubleshoot whatever problems may arise.
- Design around the limitations of LLMs, such as hallucination and nondeterminism
- Force LLMs to generate text that follows a specific style or grammar
- Maximize creativity while balancing different types of risk
- Extend the capability of an LLM beyond just content creation
- Use patterns together to solve a variety of different use cases
Biografie (Valliappa Lakshmanan)
Dr. Valliappa Lakshmanan is an expert in machine intelligence for meteorological applications, and in designing and developing large-scale software systems. He is skilled in communicating technical and non-technical material to diverse audiences. He has studied at the Indian Institute of Technology in Madras, the Ohio State University in Columbus and the University of Oklahoma. Dr. Lakshmanan is currently employed as a Research Scientist at CIMMS, being the technical lead on several software projects and research groups. He also develops automated real-time pattern recognition algorithms and visualization techniques for weather phenomena. He has (co-)written many journal articles.