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 • 55 episodes
Deep Papers
Latest Episodes
Stan Miasnikov, Distinguished Engineer, AI/ML Architecture, Consumer Experience at Verizon Walks Us Through His New Paper
This episode dives into "Category-Theoretic Analysis ...
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48:11
Small Language Models are the Future of Agentic AI
We had the privilege of hosting Peter Belcak – an AI Researcher working on the reliability and efficiency of agentic systems at NVIDIA – who walked us through his new paper making the rounds in AI circles titled “
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31:15
Watermarking for LLMs and Image Models
In this AI research paper reading, we dive into "A Watermark for Large Language Models" with the paper's author John Kirchenbauer. This paper is a timely exploration of techniques for embedding invisible but detectable signals in AI...
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42:56
Self-Adapting Language Models: Paper Authors Discuss Implications
The authors of the new paper *Self-Adapting Language Models (SEAL)* shared a behind-the-scenes look at their work, motivations, results, and future directions.The paper introduces a novel method for enabling large language models (LLMs) ...
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31:26
The Illusion of Thinking: What the Apple AI Paper Says About LLM Reasoning
This week we discuss The Illusion of Thinking, a new paper from researchers at Apple that challenges today’s evaluation methods and introduces a new benchmark: synthetic puzzles with controllable complexity and clean logic. Their fi...
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30:35
