menu
{ "item_title" : "Generative AI Design Patterns", "item_author" : [" Valliappa Lakshmanan", "Hannes Hapke "], "item_description" : "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 ", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/834/162/9798341622661_b.jpg", "price_data" : { "retail_price" : "79.99", "online_price" : "79.99", "our_price" : "79.99", "club_price" : "79.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Generative AI Design Patterns|Valliappa Lakshmanan

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

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

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

Details

  • ISBN-13: 9798341622661
  • ISBN-10: 9798341622661
  • Publisher: O'Reilly Media
  • Publish Date: November 2025
  • Dimensions: 9.19 x 7 x 1.02 inches
  • Shipping Weight: 1.76 pounds
  • Page Count: 506

Related Categories

You May Also Like...

    1

BAM Customer Reviews