LLM Prompt Engineering For Developers
The Art and Science of Unlocking LLMs' True Potential
Available as: Kindle, Paperback
What You'll Learn
- Structure prompts that survive a change of model or a change of input
- Score prompt variants with promptfoo instead of eyeballing the output
- Chain prompts together with LangChain and Azure Prompt Flow
- Recognize the failure modes that make a model answer confidently and wrongly
About This Book
A hands-on guide to mastering prompt engineering for large language models. Learn how to craft, test, and optimize prompts using tools like LangChain, Azure Prompt Flow, promptfoo, and more. Packed with real-world examples and Python code, this guide helps developers unlock the true potential of GPT-4 and beyond.
Who This Is For
Developers who already call an LLM API and want the prompt layer to stop being guesswork.
About the Author
Aymen El Amri is a software engineer, author and founder. He runs eralabs, built FAUN.dev, and writes about cloud native systems, AI engineering and developer tooling. More about Aymen.
