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Zero-Shot Auto-Labeling: The End of Annotation for Computer Vision with Jason Corso
Episode 735
Today, we're joined by Jason Corso, co-founder of Voxel51 and professor at the University of Michigan, to explore automated labeling in computer vision. Jason introduces FiftyOne, an open-source plat…
Published on 5 months ago
Grokking, Generalization Collapse, and the Dynamics of Training Deep Neural Networks with Charles Martin
Episode 734
Today, we're joined by Charles Martin, founder of Calculation Consulting, to discuss Weight Watcher, an open-source tool for analyzing and improving Deep Neural Networks (DNNs) based on principles fr…
Published on 5 months, 1 week ago
Google I/O 2025 Special Edition
Episode 733
Today, I’m excited to share a special crossover edition of the podcast recorded live from Google I/O 2025! In this episode, I join Shawn Wang aka Swyx from the Latent Space Podcast, to interview Loga…
Published on 5 months, 2 weeks ago
RAG Risks: Why Retrieval-Augmented LLMs are Not Safer with Sebastian Gehrmann
Episode 732
Today, we're joined by Sebastian Gehrmann, head of responsible AI in the Office of the CTO at Bloomberg, to discuss AI safety in retrieval-augmented generation (RAG) systems and generative AI in high…
Published on 5 months, 3 weeks ago
From Prompts to Policies: How RL Builds Better AI Agents with Mahesh Sathiamoorthy
Episode 731
Today, we're joined by Mahesh Sathiamoorthy, co-founder and CEO of Bespoke Labs, to discuss how reinforcement learning (RL) is reshaping the way we build custom agents on top of foundation models. Ma…
Published on 5 months, 4 weeks ago
How OpenAI Builds AI Agents That Think and Act with Josh Tobin
Episode 730
Today, we're joined by Josh Tobin, member of technical staff at OpenAI, to discuss the company’s approach to building AI agents. We cover OpenAI's three agentic offerings—Deep Research for comprehens…
Published on 6 months ago
CTIBench: Evaluating LLMs in Cyber Threat Intelligence with Nidhi Rastogi
Episode 729
Today, we're joined by Nidhi Rastogi, assistant professor at Rochester Institute of Technology to discuss Cyber Threat Intelligence (CTI), focusing on her recent project CTIBench—a benchmark for eval…
Published on 6 months, 2 weeks ago
Generative Benchmarking with Kelly Hong
Episode 728
In this episode, Kelly Hong, a researcher at Chroma, joins us to discuss "Generative Benchmarking," a novel approach to evaluating retrieval systems, like RAG applications, using synthetic data. Kell…
Published on 6 months, 2 weeks ago
Exploring the Biology of LLMs with Circuit Tracing with Emmanuel Ameisen
Episode 727
In this episode, Emmanuel Ameisen, a research engineer at Anthropic, returns to discuss two recent papers: "Circuit Tracing: Revealing Language Model Computational Graphs" and "On the Biology of a La…
Published on 6 months, 4 weeks ago
Teaching LLMs to Self-Reflect with Reinforcement Learning with Maohao Shen
Episode 726
Today, we're joined by Maohao Shen, PhD student at MIT to discuss his paper, “Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search.” We dig int…
Published on 7 months ago