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 Mar 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
Reasoning Over Complex Documents with DocLLM with Armineh Nourbakhsh - #672
Today we're joined by Armineh Nourbakhsh of JP Morgan AI Research to discuss the development and capabilities of DocLLM, a layout-aware large language model for multimodal document understanding. Armi...
19 Feb 202445min
Are Emergent Behaviors in LLMs an Illusion? with Sanmi Koyejo - #671
Today we’re joined by Sanmi Koyejo, assistant professor at Stanford University, to continue our NeurIPS 2024 series. In our conversation, Sanmi discusses his two recent award-winning papers. First, we...
12 Feb 20241h 5min
AI Trends 2024: Reinforcement Learning in the Age of LLMs with Kamyar Azizzadenesheli - #670
Today we’re joined by Kamyar Azizzadenesheli, a staff researcher at Nvidia, to continue our AI Trends 2024 series. In our conversation, Kamyar updates us on the latest developments in reinforcement le...
5 Feb 20241h 10min
Building and Deploying Real-World RAG Applications with Ram Sriharsha - #669
Today we’re joined by Ram Sriharsha, VP of engineering at Pinecone. In our conversation, we dive into the topic of vector databases and retrieval augmented generation (RAG). We explore the trade-offs ...
29 Jan 202435min
Nightshade: Data Poisoning to Fight Generative AI with Ben Zhao - #668
Today we’re joined by Ben Zhao, a Neubauer professor of computer science at the University of Chicago. In our conversation, we explore his research at the intersection of security and generative AI. W...
22 Jan 202439min
Learning Transformer Programs with Dan Friedman - #667
Today, we continue our NeurIPS series with Dan Friedman, a PhD student in the Princeton NLP group. In our conversation, we explore his research on mechanistic interpretability for transformer models, ...
15 Jan 202438min
