Language Models: A Guide for the Perplexed
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Language Models: A Guide for the Perplexed

Summary

“Language Models: A Guide for the Perplexed” by Sofia Serrano, Zander Brumbaugh, and Noah A. Smith is an accessible tutorial designed to improve public understanding of language models such as ChatGPT by separating the underlying models from the products built around them and from claims about human-like intelligence.

 The authors explain language models from a scientific and historical perspective, describing how they developed, what researchers can experimentally measure about their capabilities and behavior, and where significant uncertainties and limitations remain. 

Importantly, the paper cautions against treating language models as human-like thinkers and emphasizes that impressive behaviors should be distinguished from assumptions about cognition, reasoning, or understanding. Overall, it provides a useful framework for understanding what modern language models are, how they work and behave, and—equally importantly—what we do not yet know about them. 

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