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Enhancing Cloud-Based Large Language Model Processing with Elasticsearch and Transformer Models
March 5, 2024, 2:52 p.m. | Chunhe Ni, Jiang Wu, Hongbo Wang, Wenran Lu, Chenwei Zhang
cs.CL updates on arXiv.org arxiv.org
Abstract: Large Language Models (LLMs) are a class of generative AI models built using the Transformer network, capable of leveraging vast datasets to identify, summarize, translate, predict, and generate language. LLMs promise to revolutionize society, yet training these foundational models poses immense challenges. Semantic vector search within large language models is a potent technique that can significantly enhance search result accuracy and relevance. Unlike traditional keyword-based search methods, semantic search utilizes the meaning and context of …
abstract ai models arxiv challenges class cloud cloud-based cs.cl cs.dc cs.dl cs.ir datasets elasticsearch foundational models generate generative generative ai models identify language language model language models large language large language model large language models llms network processing semantic society training transformer transformer models transformer network translate type vast vector
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