5min chapter

Machine Learning Street Talk (MLST) cover image

#103 - Prof. Edward Grefenstette - Language, Semantics, Philosophy

Machine Learning Street Talk (MLST)

CHAPTER

RLHF and the Limitations of Differential Semantics in Large Language Models

In terms of papers and things that you're reading, what's top of mind for you? It's always a great question. I want to talk about differential semantics in large language models. In most cases, we arrive at the meaning of an utterance being in its use. How can a model that just modeling the surface statistics of language capture something about the semantics of a notion like evil?

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