
Localizing and Editing Knowledge in LLMs with Peter Hase - #679
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Importance of Deleting Sensitive Information from Models
The importance of deleting sensitive information from models is crucial due to the risks associated with unintentional inclusion of copyrighted, sensitive, or dangerous data during model training. There is a growing need to address this issue to prevent models from having potentially harmful information, especially with the advancements in model capabilities every year. It is vital to be able to explain model decisions and actions to users effectively, particularly in scenarios such as jailbreaking or interactions with chatbots. Deleting sensitive information is a critical aspect that requires attention in the field of machine learning.
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