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Reinforcement fine-tuning use cases | OpenAI API
Explains specific scenarios and practical applications where reinforcement fine-tuning is more effective than standard supervised fine-tuning.
Derived skill
Files assembled from official documentation
Viewing SKILL.md
Reinforcement fine-tuning use cases | OpenAI API
Explains specific scenarios and practical applications where reinforcement fine-tuning is more effective than standard supervised fine-tuning.
When To Use
Use when deciding whether to apply reinforcement fine-tuning to optimize model behavior for complex reasoning, preference alignment, or specific output constraints.
Reference Files
| File | Contains | Use For |
|---|---|---|
SKILL.md | Entry point: scope, routing table, and workflow. | Start here. |
docs/reinforcement-fine-tuning-use-cases-openai-api-workflow-guide.md | A guide outlining specific scenarios for reinforcement fine-tuning, such as code generation and semiconductor design verification. | Questions about a guide outlining specific scenarios for reinforcement fine-tuning, such as code generation and semiconductor design... |
examples/reinforcement-fine-tuning-use-cases-openai-api-openai-reinforcement-fine.text | A text-based list of practical scenarios and applications for reinforcement fine-tuning using the OpenAI API. | Exact payloads, commands, or snippets shown in A text-based list of practical scenarios and applications for reinforcement fine-tuning using the OpenAI API. |
examples/reinforcement-fine-tuning-use-cases-openai-api-openai-reinforcement-fine-2.text | A Python function implementation that uses Counter to grade model outputs by comparing predicted name-value pairs against reference answers. | Exact payloads, commands, or snippets shown in A Python function implementation that uses Counter to grade model outputs by comparing predicted name-value pairs aga... |
examples/reinforcement-fine-tuning-use-cases-openai-api-openai-rft-grader-python-.text | A Python script implementing a grader class using Pydantic to evaluate code blocks for reinforcement fine-tuning. | Exact payloads, commands, or snippets shown in A Python script implementing a grader class using Pydantic to evaluate code blocks for reinforcement fine-tuning. |
examples/reinforcement-fine-tuning-use-cases-openai-api-openai-reinforcement-fine-3.text | A text-based instruction prompt for a reinforcement fine-tuning task requiring the identification of exact text passages relevant to a specific question. | Exact payloads, commands, or snippets shown in A text-based instruction prompt for a reinforcement fine-tuning task requiring the identification of exact text passa... |
examples/reinforcement-fine-tuning-use-cases-openai-api-openai-rft-grading-logic-.text | A Python implementation of a grading function using RapidFuzz to compute similarity scores for reinforcement fine-tuning evaluation. | Exact payloads, commands, or snippets shown in A Python implementation of a grading function using RapidFuzz to compute similarity scores for reinforcement fine-tun... |
examples/reinforcement-fine-tuning-use-cases-openai-api-openai-reinforcement-fine-4.text | Textual examples of reward scoring increments and decrements for reinforcement fine-tuning based on correct ownership percentage identification and calculation. | Exact payloads, commands, or snippets shown in Textual examples of reward scoring increments and decrements for reinforcement fine-tuning based on correct ownership... |
What This Skill Covers
- Reinforcement fine-tuning (RFT) provides a way to improve your model’s performance at specific tasks. The task must be clear and have verifiable answers.
- Main sections:
When to use reinforcement fine-tuning,1. Turn instructions into working code,Wiring verification IPs for semiconductor design,Production-ready API snippets that compile and pass AST checks,Correct handling of conflicts and dupes in a schedule manager.
Workflow
- Open the most relevant file under
docs/for the exact documented workflow and wording. - Open
schemas/files for exact structured contracts. - Open
examples/files for concrete requests, commands, snippets, and manifests. - Do not add behavior or configuration that is not present in the attached source files.
Canonical source: https://developers.openai.com/api/docs/guides/rft-use-cases