I've been working on an ML model capable of robust continuous learning, resistant to catastrophic forgetting without relying on replay, an external memory system, or unbounded parameter growth. Last week I confirmed the first non-toy, 580M parameter version soundly beat LoRA, EWC, and full fine tuning. This week I'm scaling up to 4.4B parameters...
Do you have a public repo for that? I'm also trying to do that although I'm using "replay"/distillation and hopfield memory banks.
No public repo yet, but coming soon. Just filed for a patent on the technique and am preparing a paper. Posted the first figure I have for the paper here: https://dev.to/jballanc/what-would-you-do-with-an-ai-model-c...