Carnegie Mellon University has open sourced a framework called TOFU, an innovative tool designed to solve the problem of privacy data forgetting in large language models. The framework includes key modules such as forgetting, datasets, and evaluation, providing developers with a comprehensive solution to enhance model security and prevent the leakage of sensitive information. The open source of the TOFU framework marks a big step forward in the field of data security and is expected to promote in-depth research and improvement of large model security in the industry.
Carnegie University has open sourced the TOFU framework, which is designed to help large models forget private data. This framework includes multiple modules such as forgetting, data sets, and evaluation to help developers improve the security of large models. The open source of the framework will bring new impetus and direction to the development of the entire field.
The open source of the TOFU framework provides valuable tools and resources for improving the security of large models, and also provides researchers and developers with opportunities for in-depth exploration and improvement. It is believed that in the future development, the TOFU framework will play an increasingly important role in protecting data privacy and promote the development of artificial intelligence technology more safely and reliably.