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Enhancing Contextual Understanding in Large Language Models with Dynamic Dependency Structures: A Methodological Approach

2024-07-30

Abstract excerpt

<title>Abstract</title> <p>The sophisticated machine learning models transformed the ability to understand and generate human language, yet challenges remain in maintaining contextual coherence and relevance over extended sequences. Introducing dynamic dependency structures into GPT-Neo represents a significant advancement, enabling real-time adaptation of syntactic relationships based on evolving context, thereb...

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Literature Corpus work
015ba4cd-4b89-5d52-a28e-336fd45480d1
DOI
10.21203/rs.3.rs-4814991/v1
Open publication

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Enhancing Contextual Understanding in Large Language Models with Dynamic Dependency Structures: A Methodological ApproachDOI 10.21203/rs.3.rs-4814991/v1
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