Prompt Engineering for AI Systems

Each LLM seems to have a mind of its own, and it can be challenging to get the exact results you want. Prompt Engineering for AI Systems teaches you to write prompts that generate the text and code you want, regardless of the LLM you choose. In it, you’ll discover structured and reusable prompt patterns that reduce hallucinations, customize LLMs to specific tasks, and improve the quality of your code generation.

Prompt Engineering for AI Systems teaches you practical prompt engineering skills including:

• Designing context-aware prompts tailored for specific tasks
• Understanding and minimizing hallucinations
• When to use prompt patterns such as Persona, Recipe, Template, and Game-Play
• Utilizing templates to ensure consistent and reusable outputs
• Integrating external knowledge bases with Retrieval-Augmented Generation (RAG)
• Building and deploying practical LLM-based apps using LangChain

Prompt Engineering for AI Systems presents patterns, templates, and techniques that help you get consistent, valuable responses from LLMs. You’ll learn how to design precise and context-aware prompts, discover metrics you can use to assess prompt quality, learn methods to scale and collaborate on prompts, and build advanced and agentic AI apps using LangChain.