Language Model Training

Training large language models (LLMs) involves massive datasets, raising significant concerns about copyright infringement and the inclusion of sensitive personal information. Current research focuses on developing methods to detect plagiarism and copyrighted content within LLMs and their training data, as well as techniques for "unlearning" or removing specific data points to address privacy concerns. These efforts are crucial for ensuring responsible LLM development and deployment, impacting both the legal landscape and the ethical considerations surrounding AI.