Black-box forgetting: A new method for tailoring large AI models

The capabilities of large-scale pre-trained AI models have recently skyrocketed, as demonstrated by large-scale vision-language models like CLIP or ChatGPT. These typical generalist models can perform reasonably well in tasks covering a large variety of fields, which has paved the way for their widespread adoption by the public. However, such versatility no doubt comes at a cost.

This article was originally published on this website.