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Dynamic Probabilistic Contextual Realignment in Transformer-Based Large Language Models for Semantic Consistency

2024-11-12

Abstract excerpt

The rapid evolution of artificial intelligence has led to the development of sophisticated language models capable of generating human-like text. However, maintaining semantic consistency throughout extended text generation remains a significant challenge. Introducing Dynamic Probabilistic Contextual Realignment (DPCR), a novel methodology that dynamically adjusts contextual embeddings through probabilistic realig...

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Literature Corpus work
fc4aa13b-29d4-52b8-9ffb-b2eed74b6927
DOI
10.22541/au.173145004.42488699/v1
Open publication

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Dynamic Probabilistic Contextual Realignment in Transformer-Based Large Language Models for Semantic ConsistencyDOI 10.22541/au.173145004.42488699/v1
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