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Algorithmic Transformation Techniques for Efficient Exploration of Ptolemy Eecs Berkeley

Algorithmic Transformation Techniques for Efficient Exploration of Ptolemy Eecs Berkeley

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um we are really uh great it's our great pleasure and honor uh to have actually one of our own to give the a guest lecture today and so Eric Wallace he is getting his PhD from he he's my student um but also he's U now a researcher at open ey and he's done a lot of really great work uh in AI machine learning and is and also a large langage model security privacy safety issues uh so today he's going to uh talk about memorization in language models aome thanks uh the plan for today is talk about this idea of memorization language models so I'll talk about what that means you know what it is and then most importantly I'm going to focus on a bit about how to mitigate it and kind of where the state of the field is right now so just to get started uh what is memorization very very simple concept not something super technical here it's this idea that I can feed in some prompt to a large language model like let's say who is

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