Browse entries 577–600 of 1032. Return to the first page to search and filter the complete collection.
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This talk was recorded at NDC Copenhagen in Copenhagen, Denmark. #ndccopenhagen #ndcconferences #developer #softwaredeveloper Attend the next NDC conference near you: https://ndcconferences.com https://ndccopenhagen.com/ Subscribe to our YouTube channel and learn every day: / @NDC Follow our Social Media!
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AI Engineer session on The End of Apps, presented by Kitze, Sizzy.co. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on It Ain't Broke: Why Software Fundamentals Matter More Than Ever, presented by Matt Pocock, AI Hero @mattpocockuk. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on How AI is changing Software Engineering: A Conversation with Gergely Orosz, @The Pragmatic Engineer. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The New Application Layer - Malte Ubl, CTO Vercel. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Taste & Craft: A Conversation with Tuomas Artman, CTO Linear & Gergely Orosz, @The Pragmatic Engineer. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on "The moments where you want to skip thinking are EXACTLY where thinking matters most", presented by Earendil. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on State of the Claw, presented by Peter Steinberger. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Contact Center Voice AI: Low-Latency Intelligence Extraction from Messy Audio Streams, presented by Dippu Singh. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on AI Didn’t Kill the Web, It Moved in!, presented by Olivier Leplus (AWS) & Yohan Lasorsa (Microsoft). It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Running LLMs locally: Practical LLM Performance on DGX Spark, presented by Mozhgan Kabiri chimeh, NVIDIA. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Cognitive Exhaust Fumes, or: Read-Only AI Is Underrated, presented by Šimon Podhajský, Head of AI, Waypoint. It adds practical context for how teams are building and operating AI systems in production.
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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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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.
![[Evals Workshop] Mastering AI Evaluation: From Playground to Production video thumbnail](https://i.ytimg.com/vi/9iN-cPnp7xg/hqdefault.jpg)
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AI Engineer session on [Evals Workshop] Mastering AI Evaluation: From Playground to Production. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Netflix's Big Bet: One model to rule recommendations: Yesu Feng, Netflix. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The Bitter Layout or: How I Learned to Love the Model Picker, presented by Maximillian Piras, Yutori. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on How fast are LLM inference engines anyway?, presented by Charles Frye, Modal. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Production software keeps breaking and it will only get worse, presented by Anish Agarwal, Traversal.ai. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on RL for Autonomous Coding, presented by Aakanksha Chowdhery, Reflection.ai. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Benchmarks Are Memes: How What We Measure Shapes AI, presented by and Us - Alex Duffy, Every.to. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on When Vectors Break Down: Graph-Based RAG for Dense Enterprise Knowledge - Sam Julien, Writer. It adds practical context for how teams are building and operating AI systems in production.
![Vector Search Benchmark[eting] - Philipp Krenn, Elastic video thumbnail](https://i.ytimg.com/vi/YrUBFXa1KUY/hqdefault.jpg)
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AI Engineer session on Vector Search Benchmark[eting] - Philipp Krenn, Elastic. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Using OSS models to build AI apps with millions of users, presented by Hassan El Mghari. It adds practical context for how teams are building and operating AI systems in production.