ELELAND INTELLIGENCE
SKILL 039 OF 500 · github
microsoft-foundry
microsoft/azure-skills
Fine-tune models on Microsoft 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),
546,170installs
Rank #39 of 500 · top 7.8%
Position on the top-500 install curve (log scale) · Data as of 2026-08-24
Security audit
SAFEThis skill provides a robust and comprehensive toolkit for managing the lifecycle of AI agents on the Microsoft Foundry platform. It follows established cloud development practices, using official Microsoft tools and repositories to automate deployment, evaluation, and troubleshooting workflows. While the skill possesses powerful capabilities for managing cloud infrastructure and sensitive logs, these are central to its intended purpose as a developer management tool.
Audited by Gen Agent Trust Hub · 2026-05-18 · pass
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