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  5. Supervised Fine-Tuning
Training & Fine-tuningaka SFT

Supervised Fine-Tuning

Supervised fine-tuning trains a pretrained model on labeled input-output examples that demonstrate desired responses.

Ask Melo about this← all terms

The model predicts each target output under teacher forcing and receives a token-level or task-specific loss. Curated demonstrations can teach instruction following, formatting, domain behavior, or a particular task.

Related terms

PretrainingFine-TuningReinforcement Learning from Human FeedbackLow-Rank AdaptationInstruction TuningBackpropagation

Where Supervised Fine-Tuning comes up

  • What Is Fine-Tuning an LLM? A Complete Guide for 2026
  • Where the goblins came from: OpenAI on personality rewards and lexical tics in GPT‑5.x
  • Training a 4B Model to Beat Postgres Query Plans by 81% With RL
  • RadixArk Miles v0.1: Production RL Stack for Frontier LLM Post-Training