finetuning
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).
RiskHigh
Lineage100
Safety40
Rank#-1500
microsoftskills.shDomain expertise0Last updated Aug 3, 2026, 08:26 PMskills.sh/microsoft/azure-skills/finetuning
Security Findings
User-input→dynamic-exec taint flow
User input reaches dynamic-exec sink ``exec`` in ``load_grader`` (line 54)
OWASP-AST01Learn moreOWASP-AST05Learn more
Versions
1- Scanned Jul 9, 2026, 08:14 AMHigh