This AI Paper from UNC-Chapel Hill Explores the Complexities of Erasing Sensitive Data from Language Model Weights: Insights and Challenges

The storage and potential disclosure of sensitive information have become pressing concerns in the development of Large Language Models (LLMs). As LLMs like GPT acquire a growing repository of data, including personal details and harmful content, ensuring their safety and reliability is paramount. Contemporary research has shifted towards devising strategies for effectively erasing sensitive data […]

The post This AI Paper from UNC-Chapel Hill Explores the Complexities of Erasing Sensitive Data from Language Model Weights: Insights and Challenges appeared first …

ai paper ai shorts applications artificial intelligence become challenges complexities concerns data development editors pick gpt hill information insights language language model language models large language large language model large language models llms machine learning paper safety staff storage tech news technology