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agent-platform-tuning

仓库创建 2026年4月1日最近提交 2 小时前SkillHot 收录 2 小时前

⬈ GitHub 仓库 ⬈ SKILL.md 原文件 ⬇ Raw 原始文件

▸ 精选理由

覆盖从数据准备到监控的完整流程，适合需要定制模型行为的开发团队。

▸ 风险提示

需访问训练资源与配额，可能产生较高云端费用

这个 Skill 做什么

在 Agent Platform 上进行 Gemini 或开源模型的微调全流程配置与执行指南。

在 Agent Platform 上把开源模型或 Gemini 模型做微调时用到，从环境准备、数据清洗、作业配置到监控和结果验证都有流程化的指导。适合想把训练任务交给 Agent Platform 基础设施、需要统一配置和可观测性的场景。它覆盖整个微调生命周期，但不用于平台外训练或模型部署到端点。

▸ 展开 SKILL.md 英文原文

Agent Platform Model Tuning. Use when you need to fine-tune open models or Gemini models using Agent Platform infrastructure. Don't use for model training outside Agent Platform, model deployment to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-management`).

开发编程模型微调数据准备作业配置通用

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# Agent Platform Model Tuning

## Overview

This skill provides procedural knowledge for fine-tuning Large Language Models
(both Open Models and Gemini Models) using Agent Platform's tuning service. It
covers the entire lifecycle from environment setup and data preparation to job
configuration, monitoring, and deployment.

## Workflow Decision Tree

1.  **Model Category Identification**: Has the user explicitly stated whether
    they want to tune an **Open Model** or a **Gemini Model**?

    -   **No** → **STOP**. Ask the user if they want to tune an Open Model or a
        Gemini Model. **CRITICAL EXCEPTION for Environment Setup Requests:** If
        the user is specifically asking for en

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