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Watch a lecture by Jason Lee from Princeton University exploring how transformers can learn compositional functions. This one-hour talk, presented at the Simons Institute as part of "The Future of Language Models and Transformers" series, delves into the mathematical foundations and capabilities of transformer architectures in handling compositional tasks. Gain insights into how these powerful neural network models process and generate complex patterns through compositional learning mechanisms.
