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「大模型的“魔力”之源」是一个6集的系列，一起探索大模型的强大之谜！本期要点： 传统 NLP 需要词法分析、句法分析、语义分析等复杂步骤，而大模型可以直接建模文本到文本的映射 大模型通过自监督学习，从海量无标注语料中学习到了语言的内在结构和规律 预训练使得大模型能够作为通用语言模型，再通过少量微调适应下游任务 端到端的直接建模使得大模型能够处理更加复杂和开放域的任务，展现出了惊人的泛化能力 结束语：尽管端到端的直接映射非常强大，但仍然需要大量高质量数据的支持，数据偏差也可能带来问题
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