Fine-tune models on Azure AI Foundry using SFT (supervised), DPO (preference), or RFT (reinforcement with graders). Covers dataset preparation, training job submission, deployment, and evaluation. USE FOR: fine-tune, SFT, DPO, RFT, training data, grader, distillation, fine-tuned model, training job, large file upload, calibrate grader, deploy fine-tuned model, evaluate fine-tuned model. DO NOT USE FOR: general model deployment without fine-tuning (use deploy-model), agent creation (use agents), prompt optimization without training (use prompt-optimizer).
$npx -y skills add microsoft/azure-skills --skill finetuningInstalls into the current project.
Run `npx skills use "https://github.com/microsoft/azure-skills" --skill "microsoft/azure-skills/finetuning"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/microsoft/azure-skills" that are relevant to the current task. Run `npx skills add "https://github.com/microsoft/azure-skills"` and select the relevant skills, then follow their instructions.