LLM evaluation and monitoring tutorial roadmap

A tutorial outline for hallucination checks, drift monitoring, automated evaluation, and regression testing.

Tutorial Goal

Show how to evaluate an LLM system before and after deployment using test sets, traces, regression checks, and monitoring.

Sections To Build

1. Define task success and failure modes.
2. Build a small evaluation dataset.
3. Add groundedness, relevance, and completeness checks.
4. Track traces and metadata.
5. Compare prompt and model versions.
6. Monitor drift and production regressions.

Notebook Plan

• notebooks/llm-evaluation/01-eval-dataset.ipynb
• notebooks/llm-evaluation/02-automated-evaluators.ipynb
• notebooks/llm-evaluation/03-regression-tests.ipynb
• notebooks/llm-evaluation/04-monitoring.ipynb