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Large Language Models’ Emergent Abilities Are a Mirage

Wired · 1y ago

Medial

Researchers at Stanford University have published a paper suggesting that the sudden emergence of new abilities in large language models (LLMs) is not as unpredictable as previously thought. They argue that the measurement of LLM performance plays a significant role in determining whether abilities appear to emerge abruptly or gradually. The researchers propose using different metrics that show a gradual improvement in performance as LLMs scale up, challenging the notion of emergent behavior. However, other scientists argue that the work does not fully dispel the idea of emergence and that further research is needed to understand the behavior of LLMs.