Traditional CoT techniques involve prompting the model to respond with its reasoning step by step. o1 is still doing that. But what's different here is they've figured out the optimal way to chain thoughts of reasoning together. All without using complicated, inefficient RAG databases to optimize the response. Effectively, the model is trained how to "reason" by using the most effective (read predictive) strategy for CoT.
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Traditional CoT techniques involve prompting the model to respond with its reasoning step by step. o1 is still doing that. But what's different here is they've figured out the optimal way to chain thoughts of reasoning together. All without using complicated, inefficient RAG databases to optimize the response. Effectively, the model is trained how to "reason" by using the most effective (read predictive) strategy for CoT.
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