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Building a Visual Search Engine with Kuba Cieslik

Podcast |: MLOps Live
Publisher |: neptune.ai
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Interview,; Machine Learning,; Technology
Categories Via RSS |: Technology
Publication Date |: May 11, 2022
Episode Duration |: 00:53:22

Description
Content Encoded

Today, we’re joined by Kuba Cieslik, CEO and Ai Engineer at tuul.ai. He has experience in building ML products and solutions and has a deep understanding of how to build visual search solutions. Visual search technology has been around for quite some time, as part of Google Pictures or Pinterest Lens. It has become increasingly popular in e-commerce, allowing customers to simply upload what they're looking for instead of going through a slew of attribute filters. Kuba discusses how one might go about creating such a visual search engine from the ground up, as well as what approaches work and the challenges in such a complex sector.

Subscribe to our YouTube channel to watch this episode!

Learn more about Kuba Cieslik:

Kuba’s LinkedIn

Episode resources:

Kuba’s post on Neptune AI’s Blog
tuul.ai's Website

If you enjoyed this episode then please either:

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To learn more visit Neptune.ai

Previous guests include: Andy McMahon of NatWest Group, Jacopo Tagliabue of Coveo, Adam Sroka of Origami, Amber Roberts of Arize AI, Michal Tadeusiak of deepsense.ai, Danny Leybzon of WhyLabs, Kyle Morris of Banana ML, Federico Bianchi of Università Bocconi, Mateusz Opala of Brainly, Kuba Cieslik of tuul.ai, Adam Becker of Telepath.io and Fernando Rejon & Jakub Zavrel of Zeta Alpha Vector. Check out our three most downloaded episodes:

MLOps Live is handcrafted by our friends over at: fame.so

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