Data is Everything: Finding needles in multimodal haystacks
Hosted by Jason Liu, Rajan Agarwal, and Luke Igel
What you'll learn
Vector Embedding Strategies
Chunking & Indexing Methodologies
Multimodal Query Optimization
Why this topic matters
You'll learn from
Jason Liu
Consultant at the intersection of Information Retrieval and AI
Jason has built search and recommendation systems for the past 6 years. He has consulted and advised a dozens startups in the last year to improve their RAG systems. He is the creator of the Instructor Python library.
Rajan Agarwal
Research Engineering Intern @ Kino AI
Rajan Agarwal is a Machine Learning researcher studying at the University of Waterloo, specializing in multimodal models, self-driving software and multi-agent orchestration.
Luke Igel
CEO, Co-founder at Kino AI
Luke Igel is the co-founder and CEO of Kino. Previously he worked on autonomous systems at NASA and satellite planning software at SpaceX. He recently graduated from MIT, where he co-created an archival footage documentary on the history of America, inspiring the founding of Kino.
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