Overview
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Learn about effective Retriever strategies for RAG (Retrieval Augmented Generation) in this 19-minute conference talk from SK TECH SUMMIT 2023. Explore solutions for addressing LLM hallucinations and handling queries about unlearned content through RAG implementation, with a focus on developing high-efficiency retrievers for enterprise data. Gain insights from speaker Gibin Shin, an AI specialist from Allganize with extensive experience at Neowiz, Naver, and LINE, who shares his expertise in enhancing generative cognitive search performance through LLM technology. Discover practical approaches to improving workplace productivity through AI applications, particularly in the context of enterprise data retrieval and processing.
Syllabus
[SK TECH SUMMIT 2023] RAG를 위한 Retriever ì „ëžµ
Taught by
SK AI SUMMIT 2024