This is the code repository for Prompt Engineering In Action, published by Manning

Prompt Engineering in Action teaches you practical prompt engineering skills including:

This book covers the following topics:

• 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 in Action 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.

Naresh Vurukonda has been working in the fields of Data Engineering, Machine learning, and Artificial Intelligence for more than a decade. Naresh is an engineer who has worked in various industries, including Amgen, Viacom Media Networks, and Valuelabs, where he led the Data Engineers and Artificial Intelligence associates. He holds a master’s degree in computer science from Southern Arkansas University.

Naresh is an Information Systems Associate Director at Amgen, where he focuses on building Deep learning models and LLM solutions to enhance engineers’ productivity and serve patients on drug accessibility. You can learn more about Naresh at www.linkedin.com/in/nareshvurukonda.

Shivendra Srivastava has more than a decade of experience working in the field of Cloud/Distributed Computing, Machine Learning and Artificial Intelligence. Shivendra is an experienced engineer and engineering manager who has worked across various industries such as Retail, Pharmacy and more recently in Cloud Computing companies. He holds a Master’s degree in computer science from Georgia Institute of Technology.

Shivendra is an Engineering Manager at AWS, where he focuses on building highly available, low latency and scalable serverless solutions that power AWS Lambda, Athena, Glue and Bedrock. You can learn more about Shivendra at https://www.linkedin.com/in/shivendrasrivastava/