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Podcast: The Inside View
Episode: Erik Jones on Automatically Auditing Large Language Models
Description: Erik is a Phd at Berkeley working with Jacob Steinhardt, interested in making generative machine learning systems more robust, reliable, and aligned, with a focus on large language models.In this interview we talk about his paper "Automatically Auditing Large Language Models via Discrete Optimization" that he presented at ICML.
Youtube: https://youtu.be/bhE5Zs3Y1n8
Paper: https://arxiv.org/abs/2303.04381
Erik: https://twitter.com/ErikJones313
Host: https://twitter.com/MichaelTrazzi
Patreon: https://www.patreon.com/theinsideview
Outline
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