Building Hyper-Personalized LLM Applications with Rich Contextual Data - DE4AI

Explore the concept of Full RAG (Retrieval-Augmented Generation) and its potential to revolutionize user experiences across industries in this 28-minute talk by Mike Del Balso, co-founder of Tecton. Examine four levels of context personalization, from basic recommendations to highly tailored, real-time interactions. Learn how increasing levels of context - from batch data to streaming and real-time inputs - can dramatically improve AI model outputs. Discover the challenges of implementing sophisticated context personalization, including data engineering complexities and the need for efficient, scalable solutions. Gain insights into the concept of a Context Platform and how tools like Tecton can simplify the process of building, deploying, and managing personalized context at scale. Through practical examples in travel recommendations, see how developers can easily create and integrate batch, streaming, and real-time context using simple Python code, enabling more engaging and valuable AI-powered experiences.