The Quantum Drift

OpenAI Day 2 of Shipmas: Reinforcement Fine-Tuning


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OpenAI presented a new model customization method called reinforcement fine-tuning (RFT). RFT uses reinforcement learning to improve model performance on specific tasks, surpassing traditional fine-tuning by enabling models to reason more effectively. The video showcases RFT's application in rare disease research, significantly enhancing a smaller model's ability to predict disease-causing genes. OpenAI is expanding access to RFT through a research program, with public release planned for next year. This allows users to leverage their own data and OpenAI's advanced algorithms for customized AI solutions.

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The Quantum DriftBy Robert Loft and Haley Hanson