Unverified50% confidenceFactExact time

After in-context learning capabilities were observed in large models such as GPT-3, ICL rapidly became a research hotspot.

1

Sources

50%

Confidence

Long-term

Relevance

10/9/2026

First Seen

Sources

How Can Linear Attention Learn from Nonlinear Teachers? New Research Reveals Its Fundamental Limitations

Related Entities

GPT-3model in-context learningconcept

Related Claims

Unverified2020年后，以GPT-3为代表的纯解码器自回归模型凭借涌现能力和少样本学习特性确立了主流地位76% similar UnverifiedGPT-3 首次证明当模型参数量突破千亿级别时代码理解和生成能力出现质的飞跃，被称为「涌现能力」72% similar Unverified规模定律的发现直接催生了GPT-3、GPT-4、PaLM等超大规模模型71% similar UnverifiedPrompt 工程自 GPT-3 时代兴起，经过 Chain-of-Thought、Few-shot Learning、ReAct 等范式的演进71% similar

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