LLM Reference
Concepts & capability filters

chat tuning

Chat tuning fine-tunes a model on conversational data so it behaves correctly against a chat-completions API: honoring system, user, and assistant roles, staying coherent across multi-turn context, and emitting well-formed tool calls.

Category
Not classified
Difficulty
Not classified
Aliases
None tracked
Last reviewed
2026-07-02

Key facts

  • It is what makes a base model deployable for chat, agent, and RAG features, and usually precedes preference-based alignment.