community-automations/drive-fine-tune

研究與情報

PublicClaude 子代理

OpenAI 微調管線

微調模型常卡在最枯燥的環節:格式有問題的 JSONL 資料列、重複的範例,還得盯著訓練工作不放。這條流水线能從 Drive 資料夾一路包辦整個流程。

sonnet4 天Google DriveOpenAIPythonWeights & Biases
ClaudeClaude
ROI for
README.md

為什麼選擇此子代理

微調模型常卡在最枯燥的環節:格式有問題的 JSONL 資料列、重複的範例,還得盯著訓練工作不放。這條流水线能從 Drive 資料夾一路包辦整個流程。

它會匯入你的資料集、驗證並清理格式、切分訓練與驗證資料,接著啟動微調並全程監控直到完成。你會拿到模型 ID 和它的驗證損失,所以唯一要做的,就是指定資料夾、挑個基礎模型。

運作方式

    • Read

      Used at step 01 to kick off the pipeline.

    • Write

      Used at step 01 to kick off the pipeline.

    • WebFetch

      Used at step 01 to kick off the pipeline.

    • WebSearch

      Used at step 01 to kick off the pipeline.

輸出範例

json
// Sample output
// (generated when the pipeline finishes)

Take a Drive dataset folder, validate and prepare it, launch an OpenAI fine-tune, and report the model ID and loss.

Unlock the rest

The full agent definition, install snippet, and starter task are gated for community members.

Members get the full `.md` agent file, the npm / pnpm install one-liners, a starter prompt that we've tuned against real runs, and the open-source repo when this automation ships there. One email, magic link, done.