Browse entries 505–528 of 1025. Return to the first page to search and filter the complete collection.
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AI Engineer session on Effective AI Agents Need Data Flywheels, Not The Next Biggest LLM, presented by Sylendran Arunagiri, NVIDIA. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The Current State of Browser Agents - Jerry Wu and Wyatt Marshall. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Letting AI Interface with your App with MCP, presented by Kent C Dodds. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on MCPs are Boring (or: Why we are losing the Sparkle of LLMs) - Manuel Odendahl. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The State of MCP observability: Observable.tools, presented by Alex Volkov and Benjamin Eckel, W&B and Dylibso. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on MCP Agent Fine tuning Workshop - Ronan McGovern. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Building Protected MCP Servers, presented by Den Delimarsky and Julia Kasper, MCP Steering Committee & Microsoft. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Real AI Agents Need Planning, Not Just Prompting - Yuval Belfer. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on How agents broke app-level infrastructure - Evan Boyle. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Agentic Enterprise - What your CEO must know about AI - Hubert Misztela. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Why the Best AI Agents Are Built Without Frameworks (Primitives over Frameworks), presented by Ahmad Awais, CHAI. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Building AI Agents that actually automate Knowledge Work - Jerry Liu, LlamaIndex. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on How to Build Trustworthy AI, presented by Allie Howe. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Blender MCP and The Future Of Creative Tools - Siddharth Ahuja. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Building Reliable Support Agents Using the Effect Typescript Library - Michael Fester. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Case Study + Deep Dive: Telemedicine Support Agents with LangGraph/MCP - Dan Mason. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Are MCPs Overhyped? A Rant about MCPs, presented by Henry Mao, Smithery. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Exposing Agents as MCP servers with mcp-agent: Sarmad Qadri. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Supercharging developer workflow with Amazon Q Developer - Vikash Agrawal. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Agents reported thousands of bugs, how many were real? - Ian Butler and Nick Gregory. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Building Agents with Amazon Nova Act and MCP - Du'An Lightfoot, Amazon (Full Workshop). It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Creating Agents that Co-Create, presented by Karina Nguyen, OpenAI. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Rethinking how we Scaffold AI Agents - Rahul Sengottuvelu, Ramp. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The Agent Development Life Cycle, presented by Zack Reneau-Wedeen, Sierra. It adds practical context for how teams are building and operating AI systems in production.