Browse entries 697–720 of 1034. Return to the first page to search and filter the complete collection.
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AI Engineer session on Devin 2.0 and the Future of SWE - Scott Wu, Cognition. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Fuzzing in the GenAI Era, presented by Leonard Tang, Haize Labs. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Shipping Products When You Don't Know What they Can Do, presented by Ben Stein, Teammates. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Structuring a modern AI team, presented by Denys Linkov, Wisedocs. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on AI That Pays: Lessons from Revenue Cycle, presented by Nathan Wan, Ensemble Health. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Scaling Enterprise-Grade RAG: Lessons from Legal Frontier - Calvin Qi (Harvey), Chang She (Lance). It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Hacking the Inference Pareto Frontier - Kyle Kranen, NVIDIA. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Five hard earned lessons about Evals, presented by Ankur Goyal, Braintrust. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on #define AI Engineer - Greg Brockman, OpenAI (ft. Jensen Huang). It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Robotics: why now? - Quan Vuong and Jost Tobias Springberg, Physical Intelligence. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on AX is the only Experience that Matters - Ivan Burazin, Daytona. 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 Products That Actually Work, presented by Ben Hylak (Raindrop), Sid Bendre (Oleve). It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Waymo's EMMA: Teaching Cars to Think - Jyh Jing Hwang, Waymo. It adds practical context for how teams are building and operating AI systems in production.
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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.