Summary
A new method allows decomposing LLM models into a graph database, where KNN walks on layers are mathematically equivalent to matrix multiplication. This innovation enables updating a model's internal factual knowledge by simply inserting data into the graph database, eliminating the need for costly retraining. Developed by the CTO at IBM, it also promises reduced memory usage.
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