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You can now fine-tune your enterprise’s own version of OpenAI’s o4-mini reasoning model with reinforcement learning
For organizations with clearly defined problems and verifiable answers, RFT offers a compelling way to align models.
Instead of training on a set of questions with fixed correct answers — which is what traditional supervised learning does — RFT uses a grader model to score multiple candidate responses per prompt. This structure allows customers to align models with nuanced objectives such as an enterprise’s “house style” of communication and terminology, safety rules, factual accuracy, or internal policy compliance. For organizations with clearly defined problems and verifiable answers, RFT offers a compelling way to align models with operational or compliance goals — without building RL infrastructure from scratch.
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