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Tutorial, Lecture

How do OpenAI’s o1 and o3 models perform complex reasoning?

Y Combinator
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  • The system is expected to operate through an iterative process of recognizing errors, attempting corrections, experimenting with alternative strategies, and fine-tuning approaches as necessary.
  • Users may already be familiar with concepts similar to "chain of thoughts" given prior exposure to strategies such as "think step-by-step" or "take a breath and go line-by-line" in models like GPT-4-0.
  • Without the mechanism of chain of thoughts to decompose problems into steps, LLMs would rely solely on predicting the most likely token for each request.
  • A lack of sufficient context in individual requests frequently prevents LLMs from accurately predicting the most likely token.