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Rohan Paul· @rohanpaul_ai · X·· 3 天前AI 评分63
AI 导读

Mubit 发布新产品,通过读取智能体发往 OpenAI 或 Anthropic 的 API 调用来识别重复任务,并据此训练用户可自主拥有的专属小模型。该产品支持修改 base URL 的单行集成方式或接入已有 traces,通过将重复任务分流至私有小模型来降低成本与延迟,同时由前沿大模型处理其余复杂任务。

正文 · 原文

Your API calls are now training data you own, a great launch for owning your intelligence stack.

Mubit reads the calls your agents already send to OpenAI or Anthropic, finds the tasks that repeat, and trains small models that you own.

so you pay less and wait less while the big model handles the rest.

The company says they refresh every few minutes.
The integration is one line. You swap the base URL and keep the same client code. If you’d rather not touch that, you can connect the traces you already collect.
I like is the split. Narrow, repeated work moves to a model trained on your own traffic. Anything outside those tasks still goes to the frontier model.

All these means, two companies on Mubit end up with different small models, because each is shaped by its own agents’ work.

Remembering feedback in the prompt is unpredictable. So what Mubit is doing that instead of putting lessons into the prompt, it trains small models on the tasks your agents repeat, so the improvement lives in the weights.

来源:Rohan Paul · x.com