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 • 53 episodes
Deep Papers
Latest Episodes
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
Accurate KV Cache Quantization with Outlier Tokens Tracing
We discuss Accurate KV Cache Quantization with Outlier Tokens Tracing, a deep dive into improving the efficiency of LLM inference. The authors enhance KV Cache quantization, a technique for reducing memory and compute costs during inference, by...
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25:11
