Reference · Glossary
Experiment tracking
Logging **prompt, model, data, and metric** for each training or eval run so you can compare and reproduce results.
When to use
Fine-tunes, RAG tuning, and A/B tests with more than one iteration.
When not to
One-off toy scripts with no intent to compare runs.
Example
Run #42: `gpt-4o-mini`, chunk 512, recall@5 = 0.81 — tagged in MLflow or a simple JSON log.