Explore a 23-minute conference talk from DSC Adria 2024 in Zagreb where Catalin Hanga examines the intersection of Retrieval Augmented Generation (RAG) with information retrieval and natural language generation. Gain insights into the theoretical underpinnings of RAG technology, understand its practical implementations, and discover how it enhances Large Language Models by incorporating external knowledge sources. Learn about the technical hurdles in implementing RAG systems and their transformative impact on document summarization and database management applications. Delivered at the Data Science Conference, this presentation offers valuable perspectives on advancing AI capabilities through the integration of retrieval-based approaches with generative models.
Retrieval Augmented Generation - Bridging the Gap Between Information Retrieval and NLG
Data Science Conference via YouTube
Overview
Syllabus
RAG: Bridging the Gap between Information Retrieval & NLG | Catalin Hanga | DSC ADRIA 24
Taught by
Data Science Conference
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