Article

Dynamic Contextual Interpolation for More Efficient Model Generalization in Large Language Models

2024-11-19

Abstract excerpt

Dynamic Contextual Interpolation (DCI) introduces a novel methodology aimed at enhancing the adaptability and performance of large language models (LLMs) through the dynamic adjustment of contextual embeddings. The proposed approach addresses limitations inherent in static contextual representations, enabling LLMs to process and generate language with improved accuracy and reduced perplexity across diverse dataset...

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Literature Corpus work: ff94bb40-2c05-542f-ad76-9bc8070ef3b0
DOI: 10.22541/au.173204427.78451921/v1

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