LLM Evals for Structured Outputs

Check out the free course preview (first three chapters of the course)

LLM Eval, short for Large Language Model Evaluation, refers to the process of assessing the performance, quality, and reliability of large language models (LLMs) on specific tasks or use cases. It involves measuring how well an LLM (e.g., GPT-4, LLaMA) generates accurate, relevant, and coherent outputs.

Structured Output is the process of using an LLM to extract information which conforms to a predefined schema.

This course explains metrics and methods for doing LLM Evals for Structured Output tasks.

Price of course goes up to $49 on 7th Aug 2025, and I will keep raising the price as I keep adding more chapters.

You can check out the lesson notes here.