Dive into a comprehensive webinar where ODSC Founder Sheamus McGovern and Ralabs Data Engineer Ali Hesham explore the intricacies of Retrieval-Augmented Generation (RAG) and its transformative impact on AI applications. Discover practical techniques for enhancing AI's ability to generate reliable, context-aware responses by combining external data retrieval with advanced language models. Master the optimization of RAG workflows, learn to effectively utilize vector databases, and understand solutions to common implementation challenges through real-world examples. Gain valuable insights into improving AI performance through RAG implementation, making this essential viewing for data scientists, machine learning engineers, and AI practitioners looking to enhance their applications with more accurate and contextually relevant responses.
Mastering RAG - Enhancing AI Applications with Retrieval-Augmented Generation
Overview
Syllabus
Mastering RAG: Enhancing AI Applications with Retrieval-Augmented Generation
Taught by
Open Data Science
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