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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.
·San Francisco, United States
Read Full ArticleOpenAI Releases Reinforcement Fine-Tuning (RFT) on o4-mini: A Step Forward in Custom Model Optimization
OpenAI has launched Reinforcement Fine-Tuning (RFT) on its o4-mini reasoning model, introducing a powerful new technique for tailoring foundation models to specialized tasks. Built on principles of reinforcement learning, RFT allows organizations to define custom objectives and reward functions, enabling fine-grained control over how models improve—far beyond what standard supervised fine-tuning offers. At its core, RFT is designed to help devel…
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