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TechRadar
TechRadar
Eric Hal Schwartz

OpenAI's new AI Reinforcement Fine-Tuning could transform how scientists use its models

OpenAI.

The second day of OpenAI's 12 Days of OpenAI shifted to less spectacular, more enterprise interests compared to the general rollout of the OpenAI o1 model to ChatGPT on day one.

Instead, OpenAI announced plans to release Reinforcement Fine-Tuning (RFT), a way to customize its AI models for developers who want to adapt OpenAI's algorithms for specific kinds of tasks, especially more complex ones. This release marks a clear shift toward enterprise applications compared to day one’s consumer-focused updates. You can think of RFT as a method for improving how AI models work through their reasoning for responses. Using a dataset and evaluation rubric from a developer lets OpenAI’s platform train their specialized AI without lots of expensive reinforcement from later experiences.

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