Personal Data in Large Language Models: The Removal Process and Its Impact

The ever-growing capabilities of large language models, such as OpenAI's GPT-4, have raised important questions about data privacy and the ethical use of personal information. As these models process and learn from vast amounts of text data, it is crucial to consider the implications of inadvertently including personal or sensitive information. I will discuss the use of personal data within large language models, the process of requesting the removal of that information, and the impact of such removal on the model's performance. Ultimately, will removing data from the training set make any difference to a large model? Large language models like GPT-4 are trained on massive datasets that include a wide range of text sources, from books and articles to social media and websites.