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Free Lesson
Improving RAG: Embedding models & representation learning
60 min
Sep 23, 2025 2:00 PM
Virtual (Zoom)
In this video
What you'll learn
Building Effective Embedding Pipelines
Students will learn to build embedding systems integrating databases, rerankers, and query models at scale.
Strategic Model Selection & Training Decisions
Students will learn frameworks for choosing pre-trained models, when to fine-tune, and evaluating training approaches.
Production AI Search Implementation
Students will gain insights from real-world case studies of deploying embedding systems in e-commerce and enterprise.
Why this topic matters
Embedding models power modern AI search, recommendations, and matching systems that billions of users interact with daily. As semantic understanding becomes essential for connecting users to relevant content, mastering embedding pipelines is crucial for AI practitioners. This knowledge bridges theory and practice, helping you avoid costly pitfalls and build production systems that scale.
You'll learn from
Jason Liu
Consultant at the intersection of Information Retrieval and AI
Daniel Svonava
CEO at Superlinked
worked with
