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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

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Reply: Refining retrieval and chunking strategies for enhanced clinical reliability of large language models in liver

Jin Ge1, Steve Sun2, Joseph Owens2

  • 1Department of Medicine, Division of Gastroenterology and Hepatology, University of California-San Francisco, San Francisco, California, USA.

Hepatology (Baltimore, Md.)
|June 27, 2024
PubMed
Abstract

No abstract available in PubMed .

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Chunking01:12

Chunking

Chunking is a powerful cognitive technique that improves short-term memory retention by organizing information into smaller, more manageable units. The brain, limited by working memory capacity, can more easily process and store information when it is divided into "chunks" rather than presented as discrete, unrelated elements. Chunking is especially useful when dealing with large amounts of information, such as numerical sequences, words, or complex ideas.
The principle behind chunking...
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