New ‘Test-Time Training’ method lets AI keep learning without exploding inference costs

Source: VentureBeat

New test-time training method lets AI keep learning without exploding

A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to digest long docs, tickets, and logs, this is a bid to get “long memory” without paying attention cost.