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

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

$86.38
$86.38
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Generative AI Design Patterns: Solutions to Common Challenges When Building Genai Agents and Applications
  • Generative AI Design Patterns: Solutions to Common Challenges When Building Genai Agents and Applications
Generative AI Design Patterns: Solutions to Common Challenges When Building Genai Agents and Applications - Paperback

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

by Valliappa Lakshmanan , Hannes Hapke
$86.38
$86.38

Book Overview

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
ISBN9798341622661
Author Valliappa Lakshmanan , Hannes Hapke
PublisherO'Reilly Media
GenreTechnology
FormatPaperback
PublishedNovember 2025
LanguageENG- English
Pages506
Weight1.0 lb
Target AudienceAdults
Print SizeStandard Print

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About Valliappa Lakshmanan

Valliappa (Lak) Lakshmanan is Global Head for Data Analytics and AI Solutions on Google Cloud. His team builds software solutions for business problems using Google Cloud's data analytics and machine learning products. He founded Google's Advanced Solutions Lab ML Immersion program. Before Google, Lak was a Director of Data Science at Climate Corporation and a Research Scientist at NOAA.Sara Robinson is a Developer Advocate on Google's Cloud Platform team, focusing on machine learning. She inspires developers and data scientists to integrate ML into their applications through demos, online content, and events. Sara has a bachelor's degree from Brandeis University. Before Google, she was a Developer Advocate on the Firebase team.Michael Munn is an ML Solutions Engineer at Google where he works with customers of Google Cloud on helping them design, implement, and deploy machine learning models. He also teaches an ML Immersion Program at the Advanced Solutions Lab. Michael has a PhD in mathematics from the City University of New York. Before joining Google, he worked as a research professor.

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