Emergent Abilities in LLMs
Emergent abilities are novel capabilities that Large Language Models exhibit as the scale of their training increases. These abilities are not explicitly designed or programmed but rather appear as a byproduct of scaling, often unexpectedly.
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Ch.2 Generative Models - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
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Capabilities of Scaled LLMs
Emergent Abilities in LLMs
Emergent Capabilities of LLMs
A research lab is attempting to develop a language model that exhibits a complex, unforeseen skill, such as advanced causal reasoning, which is absent in their current, smaller models. They understand that such 'emergent abilities' are not explicitly programmed but appear as a result of scale. Given limited resources, which of the following approaches represents the most effective strategy for achieving this goal?
Analysis of Competing LLM Scaling Strategies
Match each key dimension of scaling a language model to the description that best explains how it contributes to the potential for developing new, advanced capabilities.
Learn After
Emergent Abilities as Evidence for the Efficacy of Scaled Training
A research team trains a series of language models, each with an increasing number of parameters, on the same large dataset. They evaluate each model on several different tasks. Which of the following outcomes would be the clearest example of an emergent ability?
Evaluating a New Model Capability
Distinguishing Learned vs. Emergent Skills