Browse entries 769–792 of 1123. Return to the first page to search and filter the complete collection.
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AI Engineer session on Ship Production Software in Minutes, Not Months, presented by Eno Reyes, Factory. It adds practical context for how teams are building and operating AI systems in production.
![[Full Workshop] Building Metrics that actually work — David Karam, Pi Labs (fmr Google Search) video thumbnail](https://i.ytimg.com/vi/jxrGodnopHo/hqdefault.jpg)
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AI Engineer session on [Full Workshop] Building Metrics that actually work, presented by David Karam, Pi Labs (fmr Google Search). It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Shipping something to someone always wins, presented by Kenneth Auchenberg (ex. Stripe, VSCode). It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The 2025 AI Engineering Report, presented by Barr Yaron, Amplify. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Vibe Coding with Confidence, presented by Itamar Friedman, Qodo. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Full Workshop: Realtime Voice AI, presented by Mark Backman, Daily. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Human seeded Evals, presented by Samuel Colvin, Pydantic. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on On Engineering AI Systems that Endure The Bitter Lesson - Omar Khattab, DSPy & Databricks. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Layering every technique in RAG, one query at a time - David Karam, Pi Labs (fmr. Google Search). It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Why your product needs an AI product manager, and why it should be you, presented by James Lowe, i.AI. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Everything is ugly, so go build something that isn't, presented by Raiza Martin, Huxe (ex NotebookLM). It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Revenue Engineering: How to Price (and Reprice) Your AI Product, presented by Kshitij Grover, Orb. 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 Code, presented by Sean Grove, OpenAI. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Your Personal Open-Source Humanoid Robot for $8,999, presented by JX Mo, K-Scale Labs. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Stop Using RAG as Memory, presented by Daniel Chalef, Zep. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on AI powered entomology: Lessons from millions of AI code reviews, presented by Tomas Reimers, Graphite. 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 Hire AI Engineers when EVERYONE is cheating with AI, presented by Beth Glenfield, DevDay. 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 run Evals at Scale: Thinking beyond Accuracy or Similarity, presented by Muktesh Mishra, Adobe. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on A Taxonomy for Next-gen Reasoning, presented by Nathan Lambert, Allen Institute (AI2) & Interconnects.ai. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Does AI Actually Boost Developer Productivity? (100k Devs Study) - Yegor Denisov-Blanch, Stanford. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Beyond Conversation: Why Documents Transform Natural Language into Code - Filip Kozera. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Arrakis: How To Build An AI Sandbox From Scratch - Abhishek Bhardwaj, OpenAI. 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 Your Own AI Data Center in 2025, presented by Paul Gilbert, Arista Networks. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The ROI of AI: Why you need Eval Framework - Beyang Liu. It adds practical context for how teams are building and operating AI systems in production.