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Hu et al., 2023 - Google Patents

Chatdb: Augmenting llms with databases as their symbolic memory

Hu et al., 2023

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Document ID
8118394744321690815
Author
Hu C
Fu J
Du C
Luo S
Zhao J
Zhao H
Publication year
Publication venue
arXiv preprint arXiv:2306.03901

External Links

Snippet

Large language models (LLMs) with memory are computationally universal. However, mainstream LLMs are not taking full advantage of memory, and the designs are heavily influenced by biological brains. Due to their approximate nature and proneness to the …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
    • G06F17/30389—Query formulation
    • G—PHYSICS
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    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06Q20/00—Payment architectures, schemes or protocols

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