Personalized Relevance with VLMs and Sparse Vectors
Hosted by Piotr Kobziakowski and Trey Grainger
Learn directly from Piotr Kobziakowski and Trey Grainger
Go deeper with a course

173 students
Go deeper with a course

What you'll learn
Intro to Sparse Vectors and Tensors
VLMs for Visual Features
Sparse Personalization
Why this topic matters
You'll learn from
Piotr Kobziakowski
AI Search Engineer specializing in search, analytics & personalization
Piotr Kobziakowski is an AI Search Engineer specializing in search, analytics. He has designed and optimized large‑scale search and recommendation systems for high‑traffic platforms. He is working extensively with modern search stack Vespa and previously Elasticsearch. His experience spans across relevance modeling, ranking, experimentation, data analytics and data‑driven product improvements, merging engineering and business goals.
As an instructor, Piotr focuses on making search, AI, and personalization practical and accessible.
Trey Grainger
Founder @ Searchkernel, Author of "AI-Powered Search"
Trey is lead author of the book AI-Powered Search and is the founder of Searchkernel, a software company building the next generation of AI-powered search. He is an advisor to several startups and adjunct professor of computer science at Furman University. He previously served as CTO of Presearch, a decentralized web search engine, and as chief algorithms officer and SVP of engineering at Lucidworks, an search company whose search technology powers hundreds of the world’s leading organizations.
Learn with Trey in the upcoming
AI-Powered Search: Modern Retrieval for Humans & Agents course.
