The o1 Model actively learns during inference, allowing it to evolve with each interaction. This ensures smarter responses that stay relevant in real time.
Traditional LLMs are largely static after training, unable to adapt during use. This limitation leads to repetitive patterns and a lack of ongoing growth.
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