Generative AI for Social Media Content Categorization - From Theory to Production

Watch a one-hour conference talk from Data Con LA where ZEFR's Chief Technology Officer explains how to combine Retrieval Augmented Generation (RAG) and Large Language Models (LLMs) to create over 100 million high-quality, explainable YouTube channel categorizations. Learn from clear examples, production lessons, and a live demonstration that makes this complex topic accessible. Gain insights from a technology leader with over 20 years of experience in data science solutions, including his work at eHarmony as a software architect and his current role at ZEFR where he leads efforts to sanitize major user-generated content platforms through advanced data science technology.