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Personal, Local, Private AI Agents: Soumith Chintala
AI Engineer session on Personal, Local, Private AI Agents: Soumith Chintala. It adds practical context for how teams are building and operating AI systems in production.
Research archive, page 39
Browse entries 913–936 of 1597. Return to the first page to search and filter the complete collection.
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OpenAI for VP's of AI + Advice for Building Agents
AI Engineer session on OpenAI for VP's of AI + Advice for Building Agents. It adds practical context for how teams are building and operating AI systems in production.
![[Full Workshop] How to add secure code interpreting in your AI app: Vasek Mlejnsky video thumbnail](https://i.ytimg.com/vi/k0VIgKAUkP4/hqdefault.jpg)
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[Full Workshop] How to add secure code interpreting in your AI app: Vasek Mlejnsky
AI Engineer session on [Full Workshop] How to add secure code interpreting in your AI app: Vasek Mlejnsky. It adds practical context for how teams are building and operating AI systems in production.
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RAG Agents in Prod: 10 Lessons We Learned — Douwe Kiela, creator of RAG
AI Engineer session on RAG Agents in Prod: 10 Lessons We Learned, presented by Douwe Kiela, creator of RAG. It adds practical context for how teams are building and operating AI systems in production.
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Beyond APIs: How AI Web Agents Are Automating the "Long Tail" of Knowledge Work
AI Engineer session on Beyond APIs: How AI Web Agents Are Automating the "Long Tail" of Knowledge Work. It adds practical context for how teams are building and operating AI systems in production.
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Personality Driven Development: Exploring the Frontier of Agents with Attitude
AI Engineer session on Personality Driven Development: Exploring the Frontier of Agents with Attitude. It adds practical context for how teams are building and operating AI systems in production.
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Agentic Workflows on Vertex AI: Rukma Sen
AI Engineer session on Agentic Workflows on Vertex AI: Rukma Sen. It adds practical context for how teams are building and operating AI systems in production.
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Voice Agents: the good, the bad, and the ugly
AI Engineer session on Voice Agents: the good, the bad, and the ugly. It adds practical context for how teams are building and operating AI systems in production.
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This video was edited with AI agent. But how?
AI Engineer session on This video was edited with AI agent. But how?. It adds practical context for how teams are building and operating AI systems in production.
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Building State of the Art Open Weights Tool Use: The Command R Family: Sandra Kublik
AI Engineer session on Building State of the Art Open Weights Tool Use: The Command R Family: Sandra Kublik. It adds practical context for how teams are building and operating AI systems in production.
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Emergence Launch: AI Agents and the future enterprise: Dr. Satya Nitta
AI Engineer session on Emergence Launch: AI Agents and the future enterprise: Dr. Satya Nitta. It adds practical context for how teams are building and operating AI systems in production.
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The missing pieces of workflow automation — Shirsha Chaudhuri, Thomson Reuters Labs
AI Engineer session on The missing pieces of workflow automation, presented by Shirsha Chaudhuri, Thomson Reuters Labs. It adds practical context for how teams are building and operating AI systems in production.
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Lets Build An Agent from Scratch
AI Engineer session on Lets Build An Agent from Scratch. It adds practical context for how teams are building and operating AI systems in production.
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Agent Evals: Finally, With The Map
AI Engineer session on Agent Evals: Finally, With The Map. It adds practical context for how teams are building and operating AI systems in production.
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Finetuning: 500m AI agents in production with 2 engineers — Mustafa Ali & Kyle Corbitt
AI Engineer session on Finetuning: 500m AI agents in production with 2 engineers, presented by Mustafa Ali & Kyle Corbitt. It adds practical context for how teams are building and operating AI systems in production.
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Tool Calling Is Not Just Plumbing for AI Agents — Roy Derks
AI Engineer session on Tool Calling Is Not Just Plumbing for AI Agents, presented by Roy Derks. It adds practical context for how teams are building and operating AI systems in production.
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The Code AI Maturity Model and What It Means For You: Ado Kukic
AI Engineer session on The Code AI Maturity Model and What It Means For You: Ado Kukic. It adds practical context for how teams are building and operating AI systems in production.
Top Agentic AI security resources — July 2026
July 2026's agentic AI security roundup: agentic zero trust whitepapers, AutoJack & other new exploits, and the newest agent defenses. The post Top Agentic AI security resources — July 2026 first appeared on Adversa AI .
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The Rise of Open Models in the Enterprise — Amir Haghighat, Baseten
AI Engineer session on The Rise of Open Models in the Enterprise, presented by Amir Haghighat, Baseten. It adds practical context for how teams are building and operating AI systems in production.
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Perceptual Evaluations: Evals for Aesthetics — Diego Rodriguez, Krea.ai
AI Engineer session on Perceptual Evaluations: Evals for Aesthetics, presented by Diego Rodriguez, Krea.ai. It adds practical context for how teams are building and operating AI systems in production.
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What Is a Humanoid Foundation Model? An Introduction to GR00T N1 - Annika & Aastha
AI Engineer session on What Is a Humanoid Foundation Model? An Introduction to GR00T N1 - Annika & Aastha. It adds practical context for how teams are building and operating AI systems in production.
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Real-time Experiments with an AI Co-Scientist - Stefania Druga, fmr. Google Deepmind
AI Engineer session on Real-time Experiments with an AI Co-Scientist - Stefania Druga, fmr. Google Deepmind. It adds practical context for how teams are building and operating AI systems in production.
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Measuring AGI: Interactive Reasoning Benchmarks for ARC-AGI-3 — Greg Kamradt, ARC Prize Foundation
AI Engineer session on Measuring AGI: Interactive Reasoning Benchmarks for ARC-AGI-3, presented by Greg Kamradt, ARC Prize Foundation. It adds practical context for how teams are building and operating AI systems in production.
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Thinking Deeper in Gemini — Jack Rae, Google DeepMind
AI Engineer session on Thinking Deeper in Gemini, presented by Jack Rae, Google DeepMind. It adds practical context for how teams are building and operating AI systems in production.