Mubit 发布基于自有 API 调用训练小模型的服务

AI 导读

Mubit 推出智能体模型训练服务，读取智能体已发往 OpenAI 或 Anthropic 的 API 调用，识别重复任务并训练用户拥有的小模型。重复且范围明确的工作交由专属小模型处理，其余任务仍由前沿模型完成；接入只需替换 base URL，也可直接连接已有 traces。模型每几分钟刷新一次，不同公司的数据会形成不同的小模型。

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.