Natural language processing

AI may sound like a human, but that doesn’t mean that AI learns like a human. In this episode, Ellie Pavlick explains why understanding how LLMs can process language could unlock deeper insights into both AI and the human mind.

Technology has forever served as science’s toolbox. But now that AI is being used to develop questions and methods as well, some scientists wonder what their role is going to become.

AI researchers are using techniques inspired by neuroscience to study how language models work — and to reveal how perplexing they can be.

Researchers in “natural language processing” tried to tame human language. Then came the transformer.

A simple primer to the 19 most important concepts in artificial intelligence.

We insist that large language models repeatedly translate their mathematical processes into words. There may be a better way.

The mathematician Tai-Danae Bradley is using category theory to try to understand both human and AI-generated language.

Larger models can pull off greater feats, but the accessibility and efficiency of smaller models make them attractive tools.

By training machine learning models with enough examples of basic science, Miles Cranmer hopes to push the pace of scientific discovery forward.