Skip to content
masterclass Buddy

AI & ML · Concept

Recall

Reinforcement fine-tuning improves models on reasoning tasks that have measurable success criteria. A custom grader scores outputs, and the model learns to produce higher-scoring answers.

Last updated

In-depth API docs are only for subscribers: parameters, examples, common mistakes and interview practice.

Subscribe
  • Reinforcement fine-tuning
  • Fine-tuning
  • Optimization cycle
  • Best practices
  • Graders
  • Supervised fine-tuning

Source: Reinforcement fine-tuning use cases | OpenAI API. Checked 2026-11-03.