Ferenc Huszár • 3/3/2022

Implicit Bayesian Inference in Large Language Models

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This article analyzes a research paper explaining in-context learning in models like GPT-3 as a form of implicit Bayesian inference. It discusses the connection between exchangeable sequence models, the de Finetti theorem, and how these models can act as general-purpose learning machines by updating their predictions based on prompts without explicit retraining.

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#large language models #Deep Learning #In Context Learning
Implicit Bayesian Inference in Large Language Models

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