OpenAI DevDay 2024 | Tuning powerful small models with distillation
Optimize scalability by transferring intelligence from large models to smaller, cost-effective ones
Optimize scalability by transferring intelligence from large models to smaller, cost-effective ones
Watch Justin Reese and members of the OpenAI team introduce and demo Reinforcement Fine-Tuning. If you’re interested in the Reinforcement Fine-Tuning Research Program, visit https://openai.com/form/rft-research-program/ Speakers (from left to right): Mark Chen, John Allard, Julie Wang, Justin Reese (Berkeley Lab)
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