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Graph Neural Networks and Generative AI with Jure Leskovec
Manage episode 375910369 series 3488846
Content provided by Fiddler AI. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Fiddler AI or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
On this episode, we’re joined by Jure Leskovec, Stanford professor and co-founder at Kumo.ai.
Graph neural networks (GNNs) are gaining popularity in the AI community, helping ML teams build advanced AI applications that provide deep insights to tackle real-world problems. Stanford professor and co-founder at Kumo.AI, Jure Leskovec, whose work is at the intersection of graph neural networks, knowledge graphs, and generative AI, will explore how organizations can incorporate GNNs in their generative AI initiatives.
9 episodes
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Manage episode 375910369 series 3488846
Content provided by Fiddler AI. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Fiddler AI or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
On this episode, we’re joined by Jure Leskovec, Stanford professor and co-founder at Kumo.ai.
Graph neural networks (GNNs) are gaining popularity in the AI community, helping ML teams build advanced AI applications that provide deep insights to tackle real-world problems. Stanford professor and co-founder at Kumo.AI, Jure Leskovec, whose work is at the intersection of graph neural networks, knowledge graphs, and generative AI, will explore how organizations can incorporate GNNs in their generative AI initiatives.
9 episodes
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Similar to AI Explained
Show notes are at https://stevelitchfield.com/sshow/chat.html
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continue reading
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