The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
von Sam Charrington
- #102 -13Technologie
- #89beste Platzierung
- wöchentlichErscheinungsrhythmus
- 59 mintypische Länge
- vor 3 Tagenletzte Folge
Folgenzu den neuesten
Imagine while Reasoning in Space: Multimodal Visualization-of-Thought with Chengzu Li - #722
Today, we're joined by Chengzu Li, PhD student at the University of Cambridge to discuss his recent paper, “Imagine while Reasoning in Space: Multimodal Visualization-of-Thought.” We explore the motivations behind MVoT, its connection to pr
Inside s1: An o1-Style Reasoning Model That Cost Under $50 to Train with Niklas Muennighoff - #721
Today, we're joined by Niklas Muennighoff, a PhD student at Stanford University, to discuss his paper, “S1: Simple Test-Time Scaling.” We explore the motivations behind S1, as well as how it compares to OpenAI's O1 and DeepSeek's R1 models.
Accelerating AI Training and Inference with AWS Trainium2 with Ron Diamant - #720
Today, we're joined by Ron Diamant, chief architect for Trainium at Amazon Web Services, to discuss hardware acceleration for generative AI and the design and role of the recently released Trainium2 chip. We explore the architectural differ
π0: A Foundation Model for Robotics with Sergey Levine - #719
Today, we're joined by Sergey Levine, associate professor at UC Berkeley and co-founder of Physical Intelligence, to discuss π0 (pi-zero), a general-purpose robotic foundation model. We dig into the model architecture, which pairs a vision
AI Trends 2025: AI Agents and Multi-Agent Systems with Victor Dibia - #718
Today we’re joined by Victor Dibia, principal research software engineer at Microsoft Research, to explore the key trends and advancements in AI agents and multi-agent systems shaping 2025 and beyond. In this episode, we discuss the unique
Speculative Decoding and Efficient LLM Inference with Chris Lott - #717
Today, we're joined by Chris Lott, senior director of engineering at Qualcomm AI Research to discuss accelerating large language model inference. We explore the challenges presented by the LLM encoding and decoding (aka generation) and how
Ensuring Privacy for Any LLM with Patricia Thaine - #716
Today, we're joined by Patricia Thaine, co-founder and CEO of Private AI to discuss techniques for ensuring privacy, data minimization, and compliance when using 3rd-party large language models (LLMs) and other AI services. We explore the r
AI Engineering Pitfalls with Chip Huyen - #715
Today, we're joined by Chip Huyen, independent researcher and writer to discuss her new book, “AI Engineering.” We dig into the definition of AI engineering, its key differences from traditional machine learning engineering, the common pitf
Evolving MLOps Platforms for Generative AI and Agents with Abhijit Bose - #714
Today, we're joined by Abhijit Bose, head of enterprise AI and ML platforms at Capital One to discuss the evolution of the company’s approach and insights on Generative AI and platform best practices. In this episode, we dig into the compan
Why Agents Are Stupid & What We Can Do About It with Dan Jeffries - #713
Today, we're joined by Dan Jeffries, founder and CEO of Kentauros AI to discuss the challenges currently faced by those developing advanced AI agents. We dig into how Dan defines agents and distinguishes them from other similar uses of LLM,
Automated Reasoning to Prevent LLM Hallucination with Byron Cook - #712
Today, we're joined by Byron Cook, VP and distinguished scientist in the Automated Reasoning Group at AWS to dig into the underlying technology behind the newly announced Automated Reasoning Checks feature of Amazon Bedrock Guardrails. Auto
AI at the Edge: Qualcomm AI Research at NeurIPS 2024 with Arash Behboodi - #711
Today, we're joined by Arash Behboodi, director of engineering at Qualcomm AI Research to discuss the papers and workshops Qualcomm will be presenting at this year’s NeurIPS conference. We dig into the challenges and opportunities presented
AI for Network Management with Shirley Wu - #710
Today, we're joined by Shirley Wu, senior director of software engineering at Juniper Networks to discuss how machine learning and artificial intelligence are transforming network management. We explore various use cases where AI and ML are
Why Your RAG System Is Broken, and How to Fix It with Jason Liu - #709
Today, we're joined by Jason Liu, freelance AI consultant, advisor, and creator of the Instructor library to discuss all things retrieval-augmented generation (RAG). We dig into the tactical and strategic challenges companies face with thei
An Agentic Mixture of Experts for DevOps with Sunil Mallya - #708
Today we're joined by Sunil Mallya, CTO and co-founder of Flip AI. We discuss Flip’s incident debugging system for DevOps, which was built using a custom mixture of experts (MoE) large language model (LLM) trained on a novel "CoMELT" observ
Building AI Voice Agents with Scott Stephenson - #707
Today, we're joined by Scott Stephenson, co-founder and CEO of Deepgram to discuss voice AI agents. We explore the importance of perception, understanding, and interaction and how these key components work together in building intelligent A
Is Artificial Superintelligence Imminent? with Tim Rocktäschel - #706
Today, we're joined by Tim Rocktäschel, senior staff research scientist at Google DeepMind, professor of Artificial Intelligence at University College London, and author of the recently published popular science book, “Artificial Intelligen
ML Models for Safety-Critical Systems with Lucas García - #705
Today, we're joined by Lucas García, principal product manager for deep learning at MathWorks to discuss incorporating ML models into safety-critical systems. We begin by exploring the critical role of verification and validation (V&V) in t
AI Agents: Substance or Snake Oil with Arvind Narayanan - #704
Today, we're joined by Arvind Narayanan, professor of Computer Science at Princeton University to discuss his recent works, AI Agents That Matter (https://arxiv.org/abs/2407.01502) and AI Snake Oil (https://www.aisnakeoil.com/). In “AI Agen
AI Agents for Data Analysis with Shreya Shankar - #703
Today, we're joined by Shreya Shankar, a PhD student at UC Berkeley to discuss DocETL (https://www.docetl.com/), a declarative system for building and optimizing LLM-powered data processing pipelines for large-scale and complex document ana
Stealing Part of a Production Language Model with Nicholas Carlini - #702
Today, we're joined by Nicholas Carlini, research scientist at Google DeepMind to discuss adversarial machine learning and model security, focusing on his 2024 ICML best paper winner, “Stealing part of a production language model (https://a
Supercharging Developer Productivity with ChatGPT and Claude with Simon Willison - #701
Today, we're joined by Simon Willison, independent researcher and creator of Datasette to discuss the many ways software developers and engineers can take advantage of large language models (LLMs) to boost their productivity. We dig into Si
Automated Design of Agentic Systems with Shengran Hu - #700
Today, we're joined by Shengran Hu, a PhD student at the University of British Columbia, to discuss Automated Design of Agentic Systems (ADAS) (https://arxiv.org/abs/2408.08435), an approach focused on automatically creating agentic system
The EU AI Act and Mitigating Bias in Automated Decisioning with Peter van der Putten - #699
Today, we're joined by Peter van der Putten, director of the AI Lab at Pega and assistant professor of AI at Leiden University. We discuss the newly adopted European AI Act and the challenges of applying academic fairness metrics in real-wo
The Building Blocks of Agentic Systems with Harrison Chase - #698
Today, we're joined by Harrison Chase, co-founder and CEO of LangChain to discuss LLM frameworks, agentic systems, RAG, evaluation, and more. We dig into the elements of a modern LLM framework, including the most productive developer experi
Simplifying On-Device AI for Developers with Siddhika Nevrekar - #697
Today, we're joined by Siddhika Nevrekar, AI Hub head at Qualcomm Technologies, to discuss on-device AI and how to make it easier for developers to take advantage of device capabilities. We unpack the motivations for AI engineers to move mo
Genie: Generative Interactive Environments with Ashley Edwards - #696
Today, we're joined by Ashley Edwards, a member of technical staff at Runway, to discuss Genie: Generative Interactive Environments (https://arxiv.org/abs/2402.15391), a system for creating ‘playable’ video environments for training deep re
Bridging the Sim2real Gap in Robotics with Marius Memmel - #695
Today, we're joined by Marius Memmel, a PhD student at the University of Washington, to discuss his research on sim-to-real transfer approaches for developing autonomous robotic agents in unstructured environments. Our conversation focuses
Building Real-World LLM Products with Fine-Tuning and More with Hamel Husain - #694
Today, we're joined by Hamel Husain, founder of Parlance Labs, to discuss the ins and outs of building real-world products using large language models (LLMs). We kick things off discussing novel applications of LLMs and how to think about m
Mamba, Mamba-2 and Post-Transformer Architectures for Generative AI with Albert Gu - #693
Today, we're joined by Albert Gu, assistant professor at Carnegie Mellon University, to discuss his research on post-transformer architectures for multi-modal foundation models, with a focus on state-space models in general and Albert’s rec
