LLM engineering: Structured outputs

LLM engineering: Structured outputs
Improve your LLM engineering skills with Jason Liu, the author of the Instructor library. Learn about structured JSON output handling, function calling, complex validations with Pydantic and more in this short and helpful course!
2 Hours
Free

Complete this course to:

  • Master structured data extraction
  • Implement advanced validation techniques
  • Integrate with the instructor library

Curriculum

  • Asking LLMs for structured data
  • Prompting LLMs
  • RAG applications
  • Validating LLM outputs
Highly Practical and Insightful Course on LLM Engineering!
This course, "LLM Engineering: Structured Outputs," is truly excellent! It's extremely useful and practical, filled with great tips that are directly applicable. The structured approach to learning and the practical insights provided make it an invaluable resource for anyone looking to deepen their understanding of LLMs.
Life saver.
This course accelerated the development of our app tenfold. We were really struggling getting the right output consistently, now it's a breeze
Great
This course is a good introduction to some key concepts and tools. I often had to take extra time to research things to fully understand them. Since the course is free, don’t expect it to cover everything in detail. But it’s definitely helpful, and I’d recommend it. Thanks to Wandb and Jason Liu for putting this together!
Your course instructor

Jason Liu

Creator Instructor Library
Jason is an independent consultant, staff-level machine learning engineer, angel investor, startup advisor, and a16z scout. I write about open source, consulting, and how to systematically improve AI applications. He is also the creator of Instructor, a popular Python library for structured outputs from LLMs
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