Understanding The Memorization Of Data Including Personal Identifiable Information in GPT-2 Model

The Berkeley Artificial Intelligence Research (BAIR) evaluated how large language models memorize and regurgitate their training data's rare snippets in a recent paper. The focus was on GPT-2 and found...

UC Berkeley Researchers Use AI For Digital Voicing Of Silent Speech

Researchers at UC Berkeley have developed an AI model that detects ‘silent speech.’ The model is based on digital voicing to predict...

UC Berkeley Researchers Open-Source ‘RAD’ To Improve Any Reinforcement Learning Algorithm

In Reinforcement Learning (RL), it has always been challenging to learn from visual observations, which is a fundamental yet challenging problem. Despite...

Berkeley using a new deep learning program to assess risk of suicide amongst veterans

Identifying patterns of risk within patients often involves a massive amount of data interpretation and algorithmic examination. New computer resources through Berkeley...
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