Emergent Abilities of Large Language Models

Scaling up language models has been shown to predictably improve performance and sample efficiency on a wide range of downstream tasks. Thus, emergent abilities cannot be predicted simply by extrapolating the performance of smaller models.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

• 1 This paper instead discusses an unpredictable phenomenon that we refer to as emergent abilities of large language models.
• 2 We consider an ability to be emergent if it is not present in smaller models but is present in larger models.
• 3 Thus, emergent abilities cannot be predicted simply by extrapolating the performance of smaller models.

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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