Mubit 推出团队自训小模型平台，并发布开源模型与新基准
Mubit has launched a platform that lets teams train their own AI models for repetitive tasks, along with an open model and a new benchmark.
Mubit 推出一个平台，让团队针对重复性任务训练自己的 AI 模型，同时发布了一个开源模型和一个新基准。该平台作为代理 base URL 置于 OpenAI、Anthropic 或 Gemini API 之前，基于智能体任务训练小模型，在 Mubit 的测试中一旦追平前沿模型即可接管任务。平台还能从 Langfuse、Braintrust 或 Pydantic Logfire 导入的历史调用中学习。
查看原帖我们在阿伯丁创立了Mubit。没有网络，没有实验室，没人认识我们。我们只是想要真正能用的AI系统。 今天我们与世界上一些最优秀的公司和工程师合作。 而我们一直看到的是：你和你的竞争对手运行着同样的AI。它应该是属于你的。🧵 在接下来的48小时内评论“SAPLING”即可获得100美元免费额度。企业用户首月免费。
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We started Mubit in Aberdeen. No network, no lab, nobody knew us. We just wanted AI systems that actually work. Today we work with some of the best companies and engineers in the world. And the thing we kept seeing: you and your competitor run the same AI. It should be yours. 🧵 Comment "SAPLING" in the next 48 hours for $100 free credits. Enterprises get the first month free.
正文
Mubit has launched a platform that lets teams train their own AI models for repetitive tasks, along with an open model and a new benchmark.
Mubit acts as a proxy base URL in front of OpenAI, Anthropic, or Gemini APIs and trains a small model based on agent tasks. The new model can take over the task as soon as it matches the frontier model in Mubit's tests.
Mubit can also learn from past calls imported from Langfuse, Braintrust, or Pydantic Logfire.