A Concise Review of Long Context in Large Language Models

Le résumé fourni par la source

Sincerely in part to the rise of high-performance computer systems and transformer models, natural language processing has advanced. Also, a multitude of applications built on large language models continually improve people's cognitive abilities. Large language models continue to face difficulties when dealing with long context input. Many studies have suggested various specific strategies to address the challenge of extended context, however as of yet, no thorough summary of these studies exists. In this paper, we discuss the issues raised and the developments that have occurred in the long context application of large language models, and we attempt to suggest future directions for research and development.

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