Forge is Mistral AI's system for adapting models to an organization's internal knowledge and operating rules. Its launch article describes training on company documents, code, and records, followed by task-specific refinement and feedback from internal evaluations. These stages aim to teach the model the terminology and behavior needed inside that organization. The same evalA repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.Full definition → process can guide later updates as requirements change. Forge therefore offers a continuing training process for enterprise models; the announcement presents improved AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → reliability as an intended benefit without quantifying that improvement.
Terms in this piece · Glossary
eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.
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