Lakshmanan, Valliappa: Generative AI Design Patterns

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 experie nce 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