Video by The Late Night Linux Family via YouTube Support us on Patreon and get an ad-free RSS feed with some early episodes. https://www.patreon.com/LateNightLinux What Linux and open source will look like in 10 years, the aspects of Linux that got us hooked all those years ago, our happiest and most miserable experiences of converting … Read more
Video by SAP via YouTube How can enterprises securely connect AI agents to business systems? Explore the MCP Gateway in SAP Integration Suite and its role in agentic integration. In this episode of Discover SAP Business AI Platform, host Gaurav Dey sits down with Dhawal Joshi, Chief Product Manager for SAP Integration Suite Platform, and … Read more
Video by TWiT Tech Podcast Network via YouTube MacBreak Weekly covers all things Apple: Leo, Andy Ihnatko, Jason Snell, and Christina Warren analyze every bit of news from the most interesting company in tech. From AI to Vision Pro, iPad to iPhone, these Apple experts know-all and tell-all. You can find more about TWiT.tv and subscribe … Read more
Video by Linux Tex via YouTube Get Theme Studio – Massive Introductory Discount https://payhip.com/LinuxTex KDE Plasma just went through one of the biggest AI controversies in the Linux community. After an Akademy 2026 talk proposed the idea of a “lovable, sovereign, AI-native KDE,” the discussion quickly escalated into arguments over generative AI, AI-generated code, open-source … Read more
See what members of the OpenAI Developer Experience team are building with Astra, from a YouTube thumbnail generator and visual learning tools to music workflows, a hardware prototype, and a tactical RPG. The team shares how Astra helps them turn loosely defined ideas into working projects, navigate complex software, and work through the details along the way.
A language model does not know your internal documents, and it does not know what happened after it was trained. Retrieval is how you close that gap.
Terms covered:
– Information Retrieval: finding relevant content from a large collection in response to a query
– RAG (Retrieval-Augmented Generation): retrieve relevant documents at the moment a question is asked, then generate a grounded answer from them
– Graph RAG: uses a knowledge graph to retrieve, so the system navigates relationships between entities instead of matching keywords
– Agentic RAG: treats retrieval as active reasoning. It rewrites queries, routes across sources, checks whether results are useful and retries when they are not.
Standard RAG for direct queries. Graph RAG when relationships matter. Agentic RAG when the retrieval itself needs to reason.
—
AI Fundamentals Glossary | H2O.ai University
Full playlist: https://www.youtube.com/playlist?list=PLAWKlIKS-66E
Free courses and certifications: https://h2o.ai/university
AI agents are moving beyond chat interfaces and onto physical devices. In her upcoming session on Hardware-Aware AI at PyTorch Conference North America 2026, Kavya Sri Chennoju from Arm will demonstrate how PyTorch, ExecuTorch, and Arm Device Connect work together to deploy AI agents safely onto edge hardware such as robot arms and wearables.
Join the open source AI community in San Jose, October 20-21: https://hubs.la/Q04v4SL60
Same chatbot, same question, two different answers, because two users have two different roles. In this tutorial, we add Auth0 login, three distinct roles, and a new Apache Cassandra backend to the MCP Gateway shoe store support chatbot, so each persona gets exactly the tools their job requires. No more, no less.
This is a follow-up to our first MCP Gateway video. If you haven’t seen it yet, start there for the base setup (HTTP + Kafka backends) before diving into this one.
Follow the blog: https://www.instaclustr.com/blog/mcp-gateway-tutorial-connect-an-ai-agent-to-apache-kafka-and-http-server-backends/
Ready to add role-based access control to your own AI agent? Start a free Instaclustr trial (no credit card required) and follow the blog + code linked above. https://console2.instaclustr.com/signup
Questions about your setup? Drop them below, happy to help.
Video by CNCF [Cloud Native Computing Foundation] via YouTube
Join Alexa Griffith of Red Hat at KubeCon + CloudNativeCon North America, November 9-12 in Salt Lake City, Utah.
In “Cache Me If You Can: LLM Inference with llm-d (with fun drawings),” Alexa will explore how to make LLM inference on Kubernetes more efficient and cost-aware.
Learn how llm-d uses prefix cache-aware routing, disaggregated prefill and decode, and flow control to improve performance as inference workloads scale. Expect clear explanations, honest tradeoffs, and yes, fun drawings.
See how RBC accelerated financial workflows by 60% using AI agents.
Learn how the Royal Bank of Canada built an agentic system to process complex capital markets data, SEC filings, and news feeds. This breakdown covers the architecture behind their multi-agent orchestration setup and the open-source tools used to automate research.
Subscribe for more technical engineering breakdowns in finance.
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