Videos

Video by Meta Developers via YouTube 🎙️ New to streaming or looking to level up? Check out StreamYard and get $10 discount! 😍 https://streamyard.com/pal/d/5195392612171776 Source

Video by Rasa via YouTube Context Engineering for AI Agents: Keep the Record, Send a Focused View with Rod Rivera · Rasa × Prof Rod Try it yourself: Rasa Mantle Getting Started: https://mantle.rasa.com/getting-started Chapters: 0:00 Start 0:28 How do AI agents manage context? 2:21 Why not send the model everything? 5:49 What goes into the … Read more

Video by The Linux Foundation via YouTube OpenSearch has grown from 700 million to 2.4 billion downloads and is now positioned as a unified AI data infrastructure layer, and Bianca Lewis, Executive Director of the OpenSearch Software Foundation, explains exactly what is driving that momentum and where the platform is heading. Full article and transcript: … Read more

Video by The Linux Experiment via YouTube Try TuxCare Radar to have the full picture of your system security: TuxCare Radar Grab a brand new laptop or desktop running Linux: https://www.tuxedocomputers.com/en# 👏 SUPPORT THE CHANNEL: Get access to: – a Daily Linux News show – a weekly patroncast for more thoughts – your name in … Read more

Video by Open Data Institute via YouTube Building municipal data capability: Lessons from the Urban Resilience Programme Join the ODI & Open Cities Lab for a candid look at digital transformation in local government in South Africa; moving past success stories to real-world impact. Supported by UK FCDO. What we cover:  🔍 Behind the city … Read more

Video by H2O.ai via YouTube The same model gives very different answers depending on how you ask. Prompt engineering is how you take control of that. Terms covered: – Prompt Engineering: designing inputs that consistently produce useful, accurate, well-structured outputs. Specify the task, give context, set the format, anticipate edge cases. – System Prompt: the … Read more

Video by MLflow via YouTube MLflow Ambassador Shrinath Suresh kicks off the MLflow A–Z series with Autolog. See how mlflow.openai.autolog() captures prompts, responses, token usage, latency, and tool invocations for GenAI experiments. MLflow also supports integrations with LangChain, DSPy, LlamaIndex, and more. 🔗 Learn more: mlflow.org/docs/latest/genai/flavors/langchain/autologging/ #MLflow #GenAI #LLMOps Source

Video by PyTorch via YouTube Sahdev Zala of IBM will present “Inside the PyTorch Ambassador Model: How Ambassadors Grow PyTorch Adoption & How You Can Become One” at PyTorch Conference North America 2026. The session will cover what PyTorch Ambassadors have built, the challenges they have encountered, the results they have produced, and how community … Read more

Video by CNCF [Cloud Native Computing Foundation] via YouTube Join Pavan Madduri of W.W. Grainger at KubeCon + CloudNativeCon North America, November 9-12 in Salt Lake City, Utah. In “Scaling AI Model Distribution with Dragonfly: From HuggingFace to Production GPU Clusters,” Pavan and Wenbo Qi of ByteDance will explore how cloud native teams can efficiently … Read more

Video by Meta Open Source via YouTube Marc Pollefeys, full professor in the Institute for Visual Computing of the Dept. of Computer Science of ETH Zürich since 2007 where he leads the Computer Vision and Geometry (CVG) lab. Marc is also the Director of Science at Microsoft HoloLens since July 2016. Since July 2018 he … Read more