Verified65% confidenceFactExact time
Foundation models learn by predicting the 'next word' on massive amounts of unlabeled text using a self-supervised learning paradigm, represented by models such as the GPT series and LLaMA
3
Sources
65%
Confidence
Long-term
Relevance
7/9/2026
First Seen
Sources
吴恩达提示词工程课精华：开发者必学的核心方法论
bilibiliAgent吴恩达6/29/2026
Related Claims
VerifiedThe reasoning paradigm is essentially the application of reinforcement learning to the post-training stage of language models, allowing the model to autonomously explore reasoning paths and receive reward feedback based on answer correctness, first publicly demonstrated in the o1 series of models.76% similarUnverifiedBase models refer to general-purpose large language models such as GPT, Doubao, and DeepSeek, while post-trained models refer to models fine-tuned for specific industries based on base models.75% similarVerifiedThe o-series models combine chain-of-thought reasoning with reinforcement learning, with the model generating internal thinking steps before producing an answer.75% similar
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