Article

ENTAgents: AI Agents for Complex Knowledge Otolaryngology

2025-01-07

Abstract excerpt

Various healthcare applications based on large language models (LLMs) have emerged as LLMs show improved efficiency and error reduction. Recently, retrieval augmented generation (RAG) has been adopted frequently for LLM applications to solve the problem of hallucinations. Despite the success of RAG, it has its drawbacks, including incomplete semantic meanings, and large-scale dataset requirements. AI Agents have s...

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Literature Corpus work: 5934f4bd-cd68-5c26-9aa5-08d57bd2e545
DOI: 10.1101/2025.01.01.25319863

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