Teaching Large Language Models to Reason with Reinforcement Learning with Alex Havrilla - #680
Today we're joined by Alex Havrilla, a PhD student at Georgia Tech, to discuss "Teaching Large Language Models to Reason with Reinforcement Learning." Alex discusses the role of creativity and explora...
16 Apr 202446min
Localizing and Editing Knowledge in LLMs with Peter Hase - #679
Today we're joined by Peter Hase, a fifth-year PhD student at the University of North Carolina NLP lab. We discuss "scalable oversight", and the importance of developing a deeper understanding of how ...
8 Apr 202449min
Coercing LLMs to Do and Reveal (Almost) Anything with Jonas Geiping - #678
Today we're joined by Jonas Geiping, a research group leader at the ELLIS Institute, to explore his paper: "Coercing LLMs to Do and Reveal (Almost) Anything". Jonas explains how neural networks can be...
1 Apr 202448min
V-JEPA, AI Reasoning from a Non-Generative Architecture with Mido Assran - #677
Today we’re joined by Mido Assran, a research scientist at Meta’s Fundamental AI Research (FAIR). In this conversation, we discuss V-JEPA, a new model being billed as “the next step in Yann LeCun's vi...
25 Mars 202447min
Video as a Universal Interface for AI Reasoning with Sherry Yang - #676
Today we’re joined by Sherry Yang, senior research scientist at Google DeepMind and a PhD student at UC Berkeley. In this interview, we discuss her new paper, "Video as the New Language for Real-World...
18 Mars 202449min
Assessing the Risks of Open AI Models with Sayash Kapoor - #675
Today we’re joined by Sayash Kapoor, a Ph.D. student in the Department of Computer Science at Princeton University. Sayash walks us through his paper: "On the Societal Impact of Open Foundation Models...
11 Mars 202440min
OLMo: Everything You Need to Train an Open Source LLM with Akshita Bhagia - #674
Today we’re joined by Akshita Bhagia, a senior research engineer at the Allen Institute for AI. Akshita joins us to discuss OLMo, a new open source language model with 7 billion and 1 billion variants...
4 Mars 202432min
Training Data Locality and Chain-of-Thought Reasoning in LLMs with Ben Prystawski - #673
Today we’re joined by Ben Prystawski, a PhD student in the Department of Psychology at Stanford University working at the intersection of cognitive science and machine learning. Our conversation cente...
26 Feb 202425min
