Deep Papers
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- Science · Mathematics
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About
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.
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Recent episodes
- CUGA Agent: From Benchmarks to Business Impact of IBM's Generalist Agent
- TUMIX: Multi-Agent Test-Time Scaling with Tool-Use Mixture
- Meta AI Researcher Explains ARE and Gaia2: Scaling Up Agent Environments and Evaluations
- Georgia Tech's Santosh Vempala Explains Why Language Models Hallucinate, His Research With OpenAI
- Atropos Health’s Arjun Mukerji, PhD, Explains RWESummary: A Framework and Test for Choosing LLMs to Summarize Real-World Evidence (RWE) Studies
- Stan Miasnikov, Distinguished Engineer, AI/ML Architecture, Consumer Experience at Verizon Walks Us Through His New Paper
- Small Language Models are the Future of Agentic AI
- Watermarking for LLMs and Image Models
- Self-Adapting Language Models: Paper Authors Discuss Implications
- The Illusion of Thinking: What the Apple AI Paper Says About LLM Reasoning