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Explore how to build a truly personal AI assistant that knows you as an individual in this 19-minute conference talk from the AI Engineer World's Fair. Discover why current large language models like GPT-4, despite their massive training datasets, cannot provide personalized assistance without significant user input. Learn about an innovative approach that creates a personal, private, and proactive AI assistant by downloading your transaction logs from major consumer platforms like Google, Facebook, Amazon, DoorDash, Strava, and Uber directly to your local device. Understand how implementing a RAG (Retrieval-Augmented Generation) system using this personal data enables immediate utility without requiring extensive user configuration. Gain insights into how a modest amount of powerful personal data can unlock the true potential of personalized AI assistance, moving beyond generic responses to truly individualized support.
