Latest Samcharrington Podcast Episodes
Controlling Fusion Reactor Instability with Deep Reinforcement Learning with Aza Jalalvand - #682
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - April 29, 2024 20:22 - 42 minutes ★★★★★ - 323 ratingsToday we're joined by Azarakhsh (Aza) Jalalvand, a research scholar at Princeton University, to discuss his work using deep reinforcement learning to control plasma instabilities in nuclear fusion reactors. Aza explains his team developed a model to detect and avoid a fatal plasma instability cal...
GraphRAG: Knowledge Graphs for AI Applications with Kirk Marple - #681
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - April 22, 2024 18:58 - 47 minutes ★★★★★ - 323 ratingsToday we're joined by Kirk Marple, CEO and founder of Graphlit, to explore the emerging paradigm of "GraphRAG," or Graph Retrieval Augmented Generation. In our conversation, Kirk digs into the GraphRAG architecture and how Graphlit uses it to offer a multi-stage workflow for ingesting, processing...
Teaching Large Language Models to Reason with Reinforcement Learning with Alex Havrilla - #680
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - April 16, 2024 22:58 - 46 minutes ★★★★★ - 323 ratingsToday 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 exploration in problem solving and explores the opportunities presented by applying reinforcement learni...
Localizing and Editing Knowledge in LLMs with Peter Hase - #679
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - April 08, 2024 21:03 - 49 minutes ★★★★★ - 323 ratingsToday 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 large neural networks make decisions. We learn how matrices are probed by interpretability resear...
Coercing LLMs to Do and Reveal (Almost) Anything with Jonas Geiping - #678
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - April 01, 2024 19:15 - 48 minutes ★★★★★ - 323 ratingsToday 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 exploited, highlighting the risk of deploying LLM agents that interact with the real world. We d...
V-JEPA, AI Reasoning from a Non-Generative Architecture with Mido Assran - #677
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - March 25, 2024 16:00 - 47 minutes ★★★★★ - 323 ratingsToday 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 vision” for true artificial reasoning. V-JEPA, the video version of Meta’s Joint Embedding Predicti...
Video as a Universal Interface for AI Reasoning with Sherry Yang - #676
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - March 18, 2024 17:09 - 49 minutes ★★★★★ - 323 ratingsToday 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 Decision Making,” which explores how generative video models can play a role similar to language...
Assessing the Risks of Open AI Models with Sayash Kapoor - #675
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - March 11, 2024 18:09 - 40 minutes ★★★★★ - 323 ratingsToday 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.” We dig into the controversy around AI safety, the risks and benefits of releasing open model w...
OLMo: Everything You Need to Train an Open Source LLM with Akshita Bhagia - #674
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - March 04, 2024 20:10 - 32 minutes ★★★★★ - 323 ratingsToday 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, but with a key difference compared to similar models offered by Meta, Mistral, and others. Name...
Training Data Locality and Chain-of-Thought Reasoning in LLMs with Ben Prystawski - #673
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - February 26, 2024 19:17 - 25 minutes ★★★★★ - 323 ratingsToday 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 centers on Ben’s recent paper, “Why think step by step? Reasoning emerges from the locality of experie...
Reasoning Over Complex Documents with DocLLM with Armineh Nourbakhsh - #672
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - February 19, 2024 19:07 - 45 minutes ★★★★★ - 323 ratingsToday 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. Armineh provides a historical overview of the challenges of document AI and an introduction to the Do...
Are Emergent Behaviors in LLMs an Illusion? with Sanmi Koyejo - #671
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - February 12, 2024 18:40 - 1 hour ★★★★★ - 323 ratingsToday 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 dive into his paper, “Are Emergent Abilities of Large Language Models a Mirage?”. We discuss the...
AI Trends 2024: Reinforcement Learning in the Age of LLMs with Kamyar Azizzadenesheli - #670
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - February 05, 2024 19:14 - 1 hour ★★★★★ - 323 ratingsToday 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 learning (RL), and how the RL community is taking advantage of the abstract reasoning abilities of ...
Building and Deploying Real-World RAG Applications with Ram Sriharsha - #669
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - January 29, 2024 19:19 - 35 minutes ★★★★★ - 323 ratingsToday 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 between relying solely on LLMs for retrieval tasks versus combining retrieval in vector databases...
Nightshade: Data Poisoning to Fight Generative AI with Ben Zhao - #668
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - January 22, 2024 18:06 - 39 minutes ★★★★★ - 323 ratingsToday 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. We focus on Ben’s recent Fawkes, Glaze, and Nightshade projects, which use “poisoning” approaches ...
Learning Transformer Programs with Dan Friedman - #667
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - January 15, 2024 19:28 - 38 minutes ★★★★★ - 323 ratingsToday, 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, specifically his paper, Learning Transformer Programs. The LTP paper proposes modifications to th...
AI Trends 2024: Machine Learning & Deep Learning with Thomas Dietterich - #666
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - January 08, 2024 16:50 - 1 hour ★★★★★ - 323 ratingsToday we continue our AI Trends 2024 series with a conversation with Thomas Dietterich, distinguished professor emeritus at Oregon State University. As you might expect, Large Language Models figured prominently in our conversation, and we covered a vast array of papers and use cases exploring cu...
AI Trends 2024: Computer Vision with Naila Murray - #665
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - January 02, 2024 21:07 - 52 minutes ★★★★★ - 323 ratingsToday we kick off our AI Trends 2024 series with a conversation with Naila Murray, director of AI research at Meta. In our conversation with Naila, we dig into the latest trends and developments in the realm of computer vision. We explore advancements in the areas of controllable generation, visu...
Are Vector DBs the Future Data Platform for AI? with Ed Anuff - #664
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - December 28, 2023 20:23 - 48 minutes ★★★★★ - 323 ratingsToday we’re joined by Ed Anuff, chief product officer at DataStax. In our conversation, we discuss Ed’s insights on RAG, vector databases, embedding models, and more. We dig into the underpinnings of modern vector databases (like HNSW and DiskANN) that allow them to efficiently handle massive and...
Quantizing Transformers by Helping Attention Heads Do Nothing with Markus Nagel - #663
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - December 26, 2023 20:07 - 46 minutes ★★★★★ - 323 ratingsToday we’re joined by Markus Nagel, research scientist at Qualcomm AI Research, who helps us kick off our coverage of NeurIPS 2023. In our conversation with Markus, we cover his accepted papers at the conference, along with other work presented by Qualcomm AI Research scientists. Markus’ first pa...
Responsible AI in the Generative Era with Michael Kearns - #662
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - December 22, 2023 01:37 - 36 minutes ★★★★★ - 323 ratingsToday we’re joined by Michael Kearns, professor in the Department of Computer and Information Science at the University of Pennsylvania and an Amazon scholar. In our conversation with Michael, we discuss the new challenges to responsible AI brought about by the generative AI era. We explore Micha...
Edutainment for AI and AWS PartyRock with Mike Miller - #661
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - December 18, 2023 16:46 - 29 minutes ★★★★★ - 323 ratingsToday we’re joined by Mike Miller, director of product at AWS responsible for the company’s “edutainment” products. In our conversation with Mike, we explore AWS PartyRock, a no-code generative AI app builder that allows users to easily create fun and shareable AI applications by selecting a mode...
Data, Systems and ML for Visual Understanding with Cody Coleman - #660
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - December 14, 2023 22:25 - 38 minutes ★★★★★ - 323 ratingsToday we’re joined by Cody Coleman, co-founder and CEO of Coactive AI. In our conversation with Cody, we discuss how Coactive has leveraged modern data, systems, and machine learning techniques to deliver its multimodal asset platform and visual search tools. Cody shares his expertise in the area...
Patterns and Middleware for LLM Applications with Kyle Roche - #659
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - December 11, 2023 23:15 - 35 minutes ★★★★★ - 323 ratingsToday we’re joined by Kyle Roche, founder and CEO of Griptape to discuss patterns and middleware for LLM applications. We dive into the emerging patterns for developing LLM applications, such as off prompt data—which allows data retrieval without compromising the chain of thought within language ...
AI Access and Inclusivity as a Technical Challenge with Prem Natarajan - #658
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - December 04, 2023 20:08 - 41 minutes ★★★★★ - 323 ratingsToday we’re joined by Prem Natarajan, chief scientist and head of enterprise AI at Capital One. In our conversation, we discuss AI access and inclusivity as technical challenges and explore some of Prem and his team’s multidisciplinary approaches to tackling these complexities. We dive into the i...
Building LLM-Based Applications with Azure OpenAI with Jay Emery - #657
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - November 28, 2023 21:24 - 43 minutes ★★★★★ - 323 ratingsToday we’re joined by Jay Emery, director of technical sales & architecture at Microsoft Azure. In our conversation with Jay, we discuss the challenges faced by organizations when building LLM-based applications, and we explore some of the techniques they are using to overcome them. We dive into ...
Visual Generative AI Ecosystem Challenges with Richard Zhang - #656
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - November 20, 2023 17:27 - 40 minutes ★★★★★ - 323 ratingsToday we’re joined by Richard Zhang, senior research scientist at Adobe Research. In our conversation with Richard, we explore the research challenges that arise when regarding visual generative AI from an ecosystem perspective, considering the disparate needs of creators, consumers, and contribu...
Deploying Edge and Embedded AI Systems with Heather Gorr - #655
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - November 13, 2023 18:56 - 38 minutes ★★★★★ - 323 ratingsToday we’re joined by Heather Gorr, principal MATLAB product marketing manager at MathWorks. In our conversation with Heather, we discuss the deployment of AI models to hardware devices and embedded AI systems. We explore factors to consider during data preparation, model development, and ultimat...
AI Sentience, Agency and Catastrophic Risk with Yoshua Bengio - #654
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - November 06, 2023 20:50 - 48 minutes ★★★★★ - 323 ratingsToday we’re joined by Yoshua Bengio, professor at Université de Montréal. In our conversation with Yoshua, we discuss AI safety and the potentially catastrophic risks of its misuse. Yoshua highlights various risks and the dangers of AI being used to manipulate people, spread disinformation, cause...
Delivering AI Systems in Highly Regulated Environments with Miriam Friedel - #653
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - October 30, 2023 18:27 - 44 minutes ★★★★★ - 323 ratingsToday we’re joined by Miriam Friedel, senior director of ML engineering at Capital One. In our conversation with Miriam, we discuss some of the challenges faced when delivering machine learning tools and systems in highly regulated enterprise environments, and some of the practices her teams have...
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