Today we’re joined by Sophia Sanborn, a postdoctoral scholar at the University of California, Santa Barbara. In our conversation with Sophia, we explore the concept of universality between neural representations and deep neural networks, and how these principles of efficiency provide an ability to find consistent features across networks and tasks. We also d ... Show More
Oct 28
The Brutal Reality of Building Agentic Products Today with Daniel Jeffries - #782
AI agents are becoming accessible to everyone, raising the bar for developers building the next generation of agent products. When capable, general-purpose agents are available out of the box, differentiation increasingly comes down to the architectural decisions and specialized ... Show More
54m 1s
Oct 15
Your Ranking Model Is Optimizing the Wrong Thing with Zoe Weil - #780
In this episode, Zoe Weil, co-founder and CEO of Sequen, joins us to discuss how ranking systems can use live behavioral signals to optimize for purchases rather than clicks or search relevance alone. Zoe explains why approaches developed at data-rich social platforms don’t neces ... Show More
52m 44s
Apr 2023
The Power of Graph Neural Networks: Understanding the Future of AI - Part 2/2 (Ep.224)
<p>In this episode of our podcast, we dive deep into the fascinating world of Graph Neural Networks.</p>
<p>First, we explore Hierarchical Networks, which allow for the efficient representation and analysis of complex graph structures by breaking them down into smaller, more mana ... Show More
35m 32s
