openai · OpenAI Platform Docs

Model optimization | OpenAI API

Explains the process of fine-tuning OpenAI models to improve performance on specific tasks through supervised training on custom datasets.

Import to Prompt Buddy

Derived skill

Files assembled from official documentation

Viewing SKILL.md

Model optimization | OpenAI API

Explains the process of fine-tuning OpenAI models to improve performance on specific tasks through supervised training on custom datasets.

When To Use

Use when you need to improve a model's performance on a specific task, follow a particular style, or reduce latency and costs by using a smaller fine-tuned model instead of a larger base model.

Reference Files

File	Contains	Use For
`SKILL.md`	Entry point: scope, routing table, and workflow.	Start here.
`docs/model-optimization-openai-api-workflow-guide.md`	A guide detailing the model optimization workflow including building evaluations, prompt engineering, and fine-tuning for OpenAI models.	Questions about a guide detailing the model optimization workflow including building evaluations, prompt engineering, and fine-tuning...

What This Skill Covers

LLM output is non-deterministic, and model behavior changes between model snapshots and families. Developers must constantly measure and tune the performance...
Main sections: Model optimization workflow, Build evals, Write effective prompts, Fine-tune a model, Fine-tuning methods.

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/fine-tuning