deep neural networks ↔ Large Language Models

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Large Language Models are related to deep neural networks because they integrate the latter with symbolic logic from knowledge graphs to form hybrid models, as described in [1], where decisions emerge from entangled attention weights and vector operations.

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Practices, opportunities and challenges in the fusion of knowledge ... frontiersin.org Frontiers 1 fact

claimThe integration of symbolic logic from knowledge graphs with deep neural networks in large language models creates hybrid models where decisions emerge from entangled attention weights and vector operations, making reasoning paths difficult to trace.