Cover Image for Paper Club #7: Weight-Space Programming
Cover Image for Paper Club #7: Weight-Space Programming
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Paper Club #7: Weight-Space Programming

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About Event

​Welcome to DEVx's next AI Paper Club!

​What if an LLM could skip training entirely and just write a neural network’s weights by hand?

Matthew Love will break down new MIT research showing LLMs can read, repair, and write neural network weights directly, with no gradient descent required, and what that could mean for the future of training.

​Paper: https://rikiyat.github.io/blog/weight-space-programming

​All are welcome to come and learn. Questions and curiosity encouraged!

Location
11988 El Camino Real
San Diego, CA 92130, USA
Room: The seminar space is right off the lobby
Avatar for DEVx
Presented by
DEVx
DEVx is San Diego's tech community for makers who care about solving problems and growing with eachother.
47 Going