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Mubit launches: train small models for repetitive agent tasks
Mubit launched a platform that sits as a proxy base URL in front of OpenAI, Anthropic, or Gemini APIs, trains a small model on agent tasks, and hands over once it matches the frontier model in its tests.
🚨 AI News | TestingCatalog
@testingcatalogArchived 5 days agoOriginally posted 2026.10.24
🚨 AI News | TestingCatalog @testingcatalogOriginally posted 2026.10.24
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.
This post quotes another post: x.com/notanilp/status/2113651823131132155
x.com/testingcatalog/status/2113748441608106460Archived 2026.10.24 10:26