skills.rest
microsoft-foundrymicrosoft-foundryOfficial·1 Agent Skills Included

fine-tuning

End-to-end model fine-tuning on Azure AI Foundry

Guides the full fine-tuning lifecycle on Azure AI Foundry, from dataset creation and validation to training, evaluation, and deployment. Covers SFT, DPO, and RFT techniques with ready-made scripts, sample datasets, and step-by-step workflows. Eliminates guesswork around data formats, grader design, hyperparameters, and platform errors so teams ship better models faster.
56|46
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npx skills add microsoft-foundry/fine-tuning --all -g -y

All Skills in This Repository (1)

Pure Emerald Level Indicators
📦 In Repo
microsoft-foundrymicrosoft-foundry

azure-ai-fine-tuning

Automate end-to-end Azure AI Foundry fine-tuning workflows with dataset prep, training, evaluation, and deployment.

Official
Advanced

Frequently Asked Questions

FAQPage Schema
How to install fine-tuning?▼

Run `npx skills add microsoft-foundry/fine-tuning --all -g -y` in your terminal to install all skills in this repository globally.

How to fine-tune a model on Azure AI Foundry?▼

Open the repository in your coding agent and describe your task. The skill walks you through dataset preparation, job submission, monitoring, evaluation, and deployment step by step.

What fine-tuning techniques are supported?▼

The skill covers Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Reinforcement Fine-Tuning (RFT), plus distillation and synthetic data generation.

Does it work with Copilot, Claude Code, and Codex?▼

Yes. The skill auto-discovers in GitHub Copilot, Claude Code, and Codex through dedicated skill folders, so no manual setup is needed.

Do I need fine-tuning experience to use it?▼

No. Guided workflows like quickstart and full-pipeline explain each stage in plain steps, and scripts handle validation, submission, and deployment for you.

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