Part 7/14:
He discusses the limitations of current paradigms, such as the constraints of token limits in large language models, and emphasizes the importance of sophisticated search and indexing techniques that can handle billions or trillions of data points. His recent work with "FeatureBase," a high-performance in-memory data store utilizing binary formats and advanced indexing, exemplifies this shift—allowing rapid retrieval and analysis of vast datasets, essential for machine learning, real-time analytics, and AI applications.