Technology subcategory

Fine-tuning

Tooling to adapt base models with domain data.

Fine-tuning covers efficient training/adaptation stacks. It changes weights; it does not replace retrieval, policy, or orchestration.

Use when domain language or format must live in the model. Related: Serving, Evaluations.

See also

Technologies

Features

Stacks

LLMs → Fine-tuning

GitHub in this term

Primary repositories linked from member packs and devices.