In this session, Dr. Kopru explores why AI-driven similarity clustering, indexing, and search are essential to creating the user experiences needed for today's online marketplaces. Some of these vital AI-driven experiences include search and ranking by text, metadata or images, product review filtering and summarization, fraud detection, and member-to-member communications. He discusses how AI can be applied to text and image similarity searches - or event multi-modal searches, for example, measuring the similarity of a product image and its listing title. Dr. Kopru dives into how eBay uses transformer models to drive similarity capabilities. What are the advanced use-cases enabled by powerful similarity searches? How do you similarity search across billions of items? How can you use smaller models for individual product categories without significantly losing accuracy? Join this session to learn how to apply off-the-shelf transformer models to drive large-scale similarity searches.