openai · OpenAI Platform Docs

Model optimization

A guide on improving LLM performance through a continuous optimization loop involving evaluation frameworks, prompt engineering best practices, and fine-tuning workflows.

Import to Prompt Buddy

Derived skill

Files assembled from official documentation

Viewing SKILL.md

Model optimization

A guide on improving LLM performance through a continuous optimization loop involving evaluation frameworks, prompt engineering best practices, and fine-tuning workflows.

When To Use

Use when you need to establish a performance baseline, iterate on prompt quality, or determine if fine-tuning is required to improve model accuracy for a specific task.

Reference Files

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