Unverified60% confidenceFactTime unknown
The core mechanism of the o1 series models is inference-time compute scaling, which performs deep reasoning by generating a long chain-of-thought process during the inference phase.
2
Sources
60%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
GitHub 8000+ Star:awesome-LLM-resources最全大语言模型资源库解析
githubWangRongsheng
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UnverifiedChain-of-Thought通过要求模型一步步思考提升推理任务表现,是o1、R1等主流推理模型的核心技术原理之一81% similarVerifiedThe o1 model performs internal chain-of-thought reasoning before answering, far surpassing GPT-4o on tasks such as mathematics, programming, and scientific reasoning.80% similarVerifiedReasoning models, represented by OpenAI o1, DeepSeek-R1, and QwQ, have chain-of-thought expansion as their core mechanism, generating a large number of intermediate reasoning steps before producing a final answer.79% similarVerifiedThe o-series models combine chain-of-thought reasoning with reinforcement learning, with the model generating internal thinking steps before producing an answer.77% similar
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