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We need continuous self learning and improvement at the level of post-training weight updates. My endeavors in this area show that it is very difficult for an
by hnuser123456 2y ago
We need continuous self learning and improvement at the level of post-training weight updates.
My endeavors in this area show that it is very difficult for an LLM to build up and integrate novel knowledge through conversation. Any new developments that aren't in context, are completely forgotten unless they are continuously kept in context, along with enough reassuring text that the novel knowledge is accurate if it goes against the LLM's training.
Is there any research into 1B-2B sized models that can be continuously finetuned on RTX 3090?
- j_bum 2y agoExcellent point, and I agree with you. I’m curious if RAG can solve any of this problem?
- numba888 2y agoRAG can be part of the solution which is unlikely that simple.
- imtringued 2y agoRAG helps you with retrieving new information, but what GP wants is that the model itself incorporates this knowledge into its parameters as it consumes it.