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
