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Emergent Abilities

All articles tagged with #emergent abilities

artificial-intelligence1 year ago•5 min saved

"Unveiling the Illusion: The Emergent Abilities of Large Language Models"

Researchers at Stanford University argue that the sudden emergence of new abilities in large language models (LLMs) is not as unpredictable as previously thought, attributing it to the way researchers measure LLM performance rather than the models' inner workings. They suggest that the abilities are gradual and predictable, challenging the notion of "emergence." However, other scientists argue that the work doesn't fully dispel the idea of emergence, emphasizing the importance of understanding and predicting the behavior of LLMs as they continue to evolve and grow in complexity.

via WIRED|

#ai-safety #artificial-intelligence #emergent-abilities

artificial-intelligence1 year ago•3 min saved

"Rapid Acquisition of Unforeseen Abilities by Large Language Models"

Researchers have observed that large language models (LLMs) exhibit sudden leaps in ability on certain tasks, which has been described as "breakthrough" behavior. However, a new paper from Stanford University suggests that these abilities may not be as unpredictable as previously thought, attributing the sudden appearance to the way researchers measure LLM performance. The study argues that the emergence of abilities is more gradual and predictable than previously believed, and that the choice of metric used to evaluate LLMs plays a significant role in determining their perceived capabilities.

via Quanta Magazine|

#ai-safety #artificial-intelligence #emergent-abilities

ai-research2 years ago•4 min saved

Debunking the Myth of Scary AI Emergent Abilities: Insights from Stanford and John Hopkins Studies

Researchers from Stanford present an alternative explanation for the seemingly sharp and unpredictable emergent abilities of large language models (LLMs). They argue that the researcher's choice of a metric that nonlinearly or discontinuously deforms per-token error rates, the lack of test data to accurately estimate the performance of smaller models, and the evaluation of too few large-scale models are all causes of emergent abilities being a mirage. They provide a mathematical model to express their alternate viewpoint and show how it statistically supports the evidence for emergent LLM skills. They put their alternate theory to the test in three complementary ways and demonstrate that emergent skills only occur for certain metrics and not for model families on tasks.

via MarkTechPost|

#ai-research #ai-safety #emergent-abilities