In plain words: It rewrites the connections inside a language model so new facts can be stored directly, fixing outdated information or adding specialist knowledge. Unlike earlier tricks that change one fact at a time, it can insert thousands of facts at once.
Abstract · Mass-Editing Memory in a Transformer
Recent work has shown exciting promise in updating large language models with new memories, so as to replace obsolete information or add specialized knowledge. However, this line of work is predominantly limited to updating single associations. We develop MEMIT, a method for directly updating a language model with many memories, demonstrating experimentally that it can scale up to thousands of associations for GPT-J (6B) and GPT-NeoX (20B), exceeding prior work by orders of magnitude. Our code and data are at https://memit.baulab.info.
Kevin Meng, Arnab Sen Sharma, Alex Andonian, Yonatan Belinkov, David Bau
arXiv:2210.07229 · cs.CL, cs.LG · submitted Oct 13, 2022 · updated Aug 1, 2023
abstract · pdf · html · 18 pages, 11 figures. Code and data at https://memit.baulab.info
So, it can be key for an implementation of the iteration of critical thinking which is crucial for Intelligence ("think, revise, acquire, revise, think, revise, revise...").