continual-learning

14 talks

Too much lock-in for too little gain: agent frameworks are a dead-endValliappa Lakshmanan · 35:37 · Aug 2025 · 259 viewsHow Reinforcement Learning Can Improve Your AgentPatrick Barker · 12:25 · Aug 2025 · 205 views · Agents in Production 2025PodcastReal-Time Forecasting Faceoff: Time Series vs. DNNsJosh Xi, Lyft · 53:42 · Apr 2025 · 386 views · MLOps PodcastPodcastBeyond AGI, Can AI Help Save the Planet?Patrick Beukema, Allen Institute for Artificial Intelligence (AI2) · 54:05 · Apr 2024 · 243 views · MLOps PodcastAI Squared: Breaking LLMs out of the Chat ApplicationBenjamin Harvey, AI Squared · 52:20 · Nov 2023 · 566 views · LLMs in Production 2023Foundation Models in the Modern Data StackInes Chami, Numbers Station · 13:17 · Jul 2023 · 847 views · LLMs in Production 2023Age of Industrialized AIDan Jeffries, AI Infrastructure Alliance · 29:56 · Apr 2023 · 1,005 views · LLMs in Production 2023PodcastFixing Your ML Data Blind SpotsYash Sheth, Galileo · 51:41 · Jun 2022 · 530 views · MLOps Coffee SessionsMeetupProduct Management in Machine LearningLaszlo Sragner, Hypergolic · 57:52 · Mar 2021 · 942 views · MLOps MeetupMeetupProductizeML: Assisting Your Team to Better Build ML ProductsAdrià Romero, ProductizeML · 50:53 · Jan 2021 · 297 views · MLOps MeetupPodcastContinuous Delivery and Automation Pipelines in ML, Part 2 · 1:07:48 · Sept 2020 · 414 views · MLOps Coffee SessionsPodcastContinuous Delivery and Automation Pipelines in Machine Learning, Part 1 · 59:05 · Sept 2020 · 1,136 views · MLOps Coffee SessionsMeetupScaling Human-in-the-Loop Machine LearningRobert Munro · 55:04 · Jun 2020 · 688 views · MLOps MeetupMeetupHierarchy of Machine Learning NeedsPhil Winder, Winder Research · 58:26 · Apr 2020 · 710 views · MLOps Meetup