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On-policy distillation is more than just another training technique; it's a foundational shift in how we create specialized, expert AI.
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Researchers have developed a new way to train AI models. The new technique combines the best of both worlds: dense, token-by-token feedback on the student model's own attempts. This smarter feedback loop has a massive impact on efficiency.