RAG: Bridging the Gap between Information Retrieval & NLG | Catalin Hanga | DSC ADRIA 24

Опубликовано: 21 Ноябрь 2024
на канале: Data Science Conference
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In his talk, Catalin delved into Retrieval Augmented Generation (RAG), discussing its theoretical foundations, practical applications, and technical challenges, and exploring its potential to enhance LLM by leveraging pre-existing knowledge from external corpora, with a focus on its impact on document summarization and database management tasks.

This speech by Catalin Hanga was held on May 23rd at DSC Adria 2024 in Zagreb.

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