Generative AI Design Patterns - Solutions to Common Challenges When Building Genai Agents and Applications

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 have compiled a library of 32 tried-and-true design patterns to address the challenges you're likely to encounter when building applications using LLMs, such as hallucinations, nondeterministic responses, and knowledge cutoffs.
This book codifies research and real-world experience into advice you can incorporate into your projects. Each pattern describes a problem, shows a proven way to solve it with a fully coded example, and discusses trade-offs.

• Design around the limitations of LLMs
• Ensure that generated content follows a specific style, tone, or format
• Maximize creativity while balancing different types of risk
• Build agents that plan, self-correct, take action, and collaborate with other agents
• Compose patterns into agentic applications for a variety of use cases

About the author

Valliappa (Lak) Lakshmanan works closely with management teams across a range of enterprises to help them employ data and AI-driven innovation to grow their businesses. Previously, he was the Director for Data Analytics and AI Solutions on Google Cloud and a Research Scientist at NOAA. He co-founded Google's Advanced Solutions Lab and is the author of several O'Reilly books and Coursera courses. He was elected a Fellow of the American Meteorological Society (the highest honor offered by the AMS) for pioneering machine learning algorithms in severe weather prediction.

Product details

• Authors: Hannes Hapke, Hannes Hapke, Valliappa Lakshmanan, Lakshmanan Valliappa, Valliappa Lakshmanan
• Publisher: O'Reilly
• Languages: English
• Product format: Paperback / Softback
• Released: 18.11.2025
• EAN: 9798341622661
• ISBN: 979-8-3416-2266-1
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; Artificial Intelligence, COMPUTERS / Software Development & Engineering / Tools, Computer programming / software engineering, Computer Programming / Software Development, COMPUTERS / Artificial Intelligence / Generative AI, Generative artificial intelligence / generative AI, Generative AI Large Language Models Design Patterns LLMOps