Building a Visual Search Engine with Kuba Cieslik
Podcast |
MLOps Live
Publisher |
neptune.ai
Media Type |
audio
Categories Via RSS |
Technology
Publication Date |
May 11, 2022
Episode Duration |
00:53:22
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.
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.
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Learn more about Kuba Cieslik:
Episode resources:
  • Kuba’s post on Neptune AI’s Blog
  • tuul.ai's Website
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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:
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