The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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.
Letzte Episode
Closing the Loop Between AI Training and Inference with Lin Qiao - #742 (12.08.2025)
Frühere Episoden
- Context Engineering for Productive AI Agents with Filip Kozera - #741 29.07.2025
- Infrastructure Scaling and Compound AI Systems with Jared Quincy Davis - #740 22.07.2025
- Building Voice AI Agents That Don’t Suck with Kwindla Kramer - #739 16.07.2025
- Distilling Transformers and Diffusion Models for Robust Edge Use Cases with Fatih Porikli - #738 09.07.2025
- Building the Internet of Agents with Vijoy Pandey - #737 24.06.2025
- LLMs for Equities Feature Forecasting at Two Sigma with Ben Wellington - #736 17.06.2025
- Zero-Shot Auto-Labeling: The End of Annotation for Computer Vision with Jason Corso - #735 10.06.2025
- Grokking, Generalization Collapse, and the Dynamics of Training Deep Neural Networks with Charles Martin - #734 05.06.2025
- Google I/O 2025 Special Edition - #733 28.05.2025
- RAG Risks: Why Retrieval-Augmented LLMs are Not Safer with Sebastian Gehrmann - #732 21.05.2025
- From Prompts to Policies: How RL Builds Better AI Agents with Mahesh Sathiamoorthy - #731 14.05.2025
- How OpenAI Builds AI Agents That Think and Act with Josh Tobin - #730 07.05.2025
- CTIBench: Evaluating LLMs in Cyber Threat Intelligence with Nidhi Rastogi - #729 30.04.2025
- Generative Benchmarking with Kelly Hong - #728 24.04.2025
- Exploring the Biology of LLMs with Circuit Tracing with Emmanuel Ameisen - #727 14.04.2025
- Teaching LLMs to Self-Reflect with Reinforcement Learning with Maohao Shen - #726 08.04.2025
- Waymo's Foundation Model for Autonomous Driving with Drago Anguelov - #725 31.03.2025
- Dynamic Token Merging for Efficient Byte-level Language Models with Julie Kallini - #724 24.03.2025
- Scaling Up Test-Time Compute with Latent Reasoning with Jonas Geiping - #723 17.03.2025
- Imagine while Reasoning in Space: Multimodal Visualization-of-Thought with Chengzu Li - #722 10.03.2025
