Article

Dynamic Semantic Alignment in Large Language Models for Contextual Vector Transformation

2024-11-12

Abstract excerpt

The evolution of artificial intelligence has introduced models capable of capturing complex linguistic patterns, yet existing architectures often struggle with dynamically adapting to diverse contextual shifts. Addressing this gap, the novel framework of Dynamic Semantic Alignment (DSA) presents a sophisticated approach that enables language models to adjust semantic vectors in real time, thereby achieving precise...

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Literature Corpus work: ad21d9e9-f54c-5b0b-96fb-078fdc289aaa
DOI: 10.22541/au.173144817.73680781/v1

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