Deep Papers
Deep Papers is a podcast series featuring deep dives on today’s most important AI papers and research. Hosted by Arize AI founders and engineers, each episode profiles the people and techniques behind cutting-edge breakthroughs in machine learning.
Podcasting since 2023 • 59 episodes
Deep Papers
Latest Episodes
TUMIX: Multi-Agent Test-Time Scaling with Tool-Use Mixture
We dive into the latest paper from Google and a team of academic researchers: "TUMIX: Multi-Agent Test-Time Scaling with Tool-Use Mixture."Hear from one of the pa...
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23:44
Meta AI Researcher Explains ARE and Gaia2: Scaling Up Agent Environments and Evaluations
In our latest paper reading, we had the pleasure of hosting Grégoire Mialon — Research Scientist at Meta Superintelligence Labs — to walk us through Meta AI’s groundbreaking
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22:34
Georgia Tech's Santosh Vempala Explains Why Language Models Hallucinate, His Research With OpenAI
Santosh Vempala, Frederick Storey II Chair of Computing and Distinguished Professor in the School of Computer Science at Georgia Tech, explains
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31:24
Atropos Health’s Arjun Mukerji, PhD, Explains RWESummary: A Framework and Test for Choosing LLMs to Summarize Real-World Evidence (RWE) Studies
Large language models are increasingly used to turn complex study output into plain-English summaries. But how do we know which models are safest and most reliable for healthcare? In this most recent community AI research paper read...
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26:22
