Overview
Explore the cutting-edge "Full RAG" architectural approach for AI recommendation systems in this 33-minute talk by Mike Del Balso, CEO and Co-Founder of Tecton. Dive into how this enhanced Retrieval-Augmented Generation (RAG) architecture integrates batch and streaming data to achieve hyperpersonalization, surpassing traditional models. Gain insights into the potential of Full RAG for deeper contextual understanding and real-time user data incorporation, while addressing implementation challenges such as data management and model training complexities. Learn strategies for effectively deploying advanced AI solutions with complex data integrations, and understand the critical role of hyperpersonalization in modern AI systems. Discover additional resources on LLM and MLOps, and connect with Databricks through various social media platforms for further engagement in the AI and data science community.
Syllabus
Sponsored by: Tecton | Full RAG: A Modern Architecture for Hyperpersonalization
Taught by
Databricks