29:53
30 AI Terms That Could Save You Thousands on Your Next AI Proposal
Stephanie Nyarko breaks down 30 AI terms in plain English, framed around a real-world scenario: a consultant quoted $11,000 for a pro...
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23:48
Cerebras Just Killed Second Brains
Nick Saraev breaks down a real-world enterprise knowledge base system built by Cerebras — the AI hardware company behind high-speed i...
05:52
When All Context Matters: Extended Cache Augmented Generation – Luis Romero-Sevilla, Orbis
Luis Romero Sevilla, VP of AI at Orbis, introduces Extended Cache Augmented Generation (XCAG), a retrieval architecture designed for...
46:49
Why Scale Will Not Solve AGI | Vishal Misra – The a16z Show
Columbia University professor Vishal Misra joins the a16z podcast to present his mathematical framework for understanding how large l...
14:54
Why the Best AI Coding Tools Abandoned RAG
Cole Medin addresses one of the most misunderstood narratives in AI development: the claim that RAG is dead. His argument is precise...
03:32
New course! Document AI: From OCR to Agentic Doc Extraction
DeepLearning.AI has launched \"Document AI: From OCR to Agentic Doc Extraction,\" a new course developed in partnership with Landing...
18:09
Once You Know This, Building RAG Agents Becomes Easy
Nate Herk breaks down four distinct retrieval methods for RAG agents, explaining when each approach outperforms the others. The video...
18:39
How to Solve the Biggest Problem with AI
Hallucinations — instances where AI models confidently state false information — persist across every major LLM including ChatGPT, Ge...
01:02:44
Jack Morris: Stuffing Context is not Memory, Updating Weights is
Jack Morris, a researcher presenting at the AI Engineer conference, challenges a common assumption in AI system design: that putting...
21:52
AI Dev 25 x NYC | Nyah Macklin: How to Structure Context to Make Your Agents Smarter
At the AI Dev 25 NYC conference, Nyah Macklin—senior engineer and developer advocate whose research spans graph theory, graph algorit...