
Colloquium: Mr. Mike Clutterbuck
February 21 @ 2:00 pm - 3:00 pm
Embeddings: The Language of AI
Mr. Mike Clutterbuck
Lead Data Scientist
Wantable Inc.
Embeddings are a core concept in machine learning that help AI understand and organize complex data. They take things like words, images, or user behavior and turn them into compact numerical representations, making it easier for AI to spot patterns and relationships. This is how LLMs understand language and recommendation systems personalize content.
Mathematically, embeddings work by placing similar items closer together in a structured space, using techniques like matrix factorization, neural networks, and dimensionality reduction. This makes them essential for search, personalization, fraud detection, next-word prediction, and more. While they might seem abstract, embeddings are working behind the scenes in many of the AI-powered products and tools we use today