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
