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DTSTAMP:20260419T042940
CREATED:20250113T152601Z
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UID:10016197-1740146400-1740150000@uwm.edu
SUMMARY:Colloquium: Mr. Mike Clutterbuck
DESCRIPTION:Embeddings: The Language of AI\nMr. Mike Clutterbuck\nLead Data Scientist\nWantable Inc. \nEmbeddings 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. \nMathematically\, 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
URL:/math/event/colloquium-mike-clutterbuck/
LOCATION:EMS Building\, E495\, 3200 N Cramer St\, Milwaukee\, WI\, United States
CATEGORIES:Colloquia
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