跳至主要内容
返回 Skills 索引

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),

546,170次安装

第 39 位,共 500 · 前 7.8%

在 Top 500 安装量曲线上的位置(对数刻度) · 数据截至 2026-08-24

安全审计

SAFE

This 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.

审计方 Gen Agent Trust Hub · 2026-05-18 · pass

MARKET SIGNALS · SKILL INDEX