The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Un podcast de Sam Charrington
751 Épisodes
-
Google I/O 2025 Special Edition - #733
Publié: 28/05/2025 -
RAG Risks: Why Retrieval-Augmented LLMs are Not Safer with Sebastian Gehrmann - #732
Publié: 21/05/2025 -
From Prompts to Policies: How RL Builds Better AI Agents with Mahesh Sathiamoorthy - #731
Publié: 13/05/2025 -
How OpenAI Builds AI Agents That Think and Act with Josh Tobin - #730
Publié: 06/05/2025 -
CTIBench: Evaluating LLMs in Cyber Threat Intelligence with Nidhi Rastogi - #729
Publié: 30/04/2025 -
Generative Benchmarking with Kelly Hong - #728
Publié: 23/04/2025 -
Exploring the Biology of LLMs with Circuit Tracing with Emmanuel Ameisen - #727
Publié: 14/04/2025 -
Teaching LLMs to Self-Reflect with Reinforcement Learning with Maohao Shen - #726
Publié: 08/04/2025 -
Waymo's Foundation Model for Autonomous Driving with Drago Anguelov - #725
Publié: 31/03/2025 -
Dynamic Token Merging for Efficient Byte-level Language Models with Julie Kallini - #724
Publié: 24/03/2025 -
Scaling Up Test-Time Compute with Latent Reasoning with Jonas Geiping - #723
Publié: 17/03/2025 -
Imagine while Reasoning in Space: Multimodal Visualization-of-Thought with Chengzu Li - #722
Publié: 10/03/2025 -
Inside s1: An o1-Style Reasoning Model That Cost Under $50 to Train with Niklas Muennighoff - #721
Publié: 03/03/2025 -
Accelerating AI Training and Inference with AWS Trainium2 with Ron Diamant - #720
Publié: 24/02/2025 -
π0: A Foundation Model for Robotics with Sergey Levine - #719
Publié: 18/02/2025 -
AI Trends 2025: AI Agents and Multi-Agent Systems with Victor Dibia - #718
Publié: 10/02/2025 -
Speculative Decoding and Efficient LLM Inference with Chris Lott - #717
Publié: 04/02/2025 -
Ensuring Privacy for Any LLM with Patricia Thaine - #716
Publié: 28/01/2025 -
AI Engineering Pitfalls with Chip Huyen - #715
Publié: 21/01/2025 -
Evolving MLOps Platforms for Generative AI and Agents with Abhijit Bose - #714
Publié: 13/01/2025
Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, computer science, data science and more.
