09-09, 15:30–15:50 (Asia/Jerusalem), Hall 7
Language: English
Embeddings power AI tools like search and chatbots — but what are they really? This talk explains embeddings in simple terms using Python, with real examples, humor, and no ML background required.
Embeddings are behind the magic of modern AI — powering search, recommendations, and those eerily accurate chatbots. But what are they, really? In this talk, Liza — a regular software engineer, not a data science PhD — breaks it down in plain English using real examples, bad charts, and trusty science-y Python tools. If you’ve ever wondered how words, products, or even bananas become vectors in high-dimensional space, this is your crash course.
Intermediate
Target audience –Developers, Data Scientists, R&D
Liza Katz is a software engineer with 20+ years of experience in writing code, leading teams, and building clever AI tools with Python, search tech, and large language models.