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
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.
清理格式錯誤的資料列、去除重複範例,並將資料集拆分為訓練集與驗證集。
pending
上傳已準備好的檔案,並使用指定的基礎模型啟動 OpenAI 微調作業。
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追蹤執行進度至完成,並回報最終模型 ID 與驗證損失值。
pending
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.