MEMO: A Modular Framework for Training a Dedicated Memory Model on New Knowledge Without Modifying LLM Parameters
Large language fashions grow to be static after pretraining. Their data doesn’t replace because the world adjustments. Retraining a full LLM is just too costly at trendy scales. Fine-tuning dangers degrading beforehand discovered data. Retrieval-augmented era (RAG) struggles when solutions require reasoning throughout many paperwork. A crew of researchers from the National University of Singapore,…
