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AI changes *Nothing* — Dax Raad, OpenCode
AI Engineer session on AI changes *Nothing*, presented by Dax Raad, OpenCode. It adds practical context for how teams are building and operating AI systems in production.
Research archive, page 29
Browse entries 673–696 of 1034. Return to the first page to search and filter the complete collection.
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Rishabh Garg, Tesla Optimus — Challenges in High Performance Robotics Systems
AI Engineer session on Rishabh Garg, Tesla Optimus, presented by Challenges in High Performance Robotics Systems. It adds practical context for how teams are building and operating AI systems in production.
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Practical tactics to build reliable AI apps — Dmitry Kuchin, Multinear
AI Engineer session on Practical tactics to build reliable AI apps, presented by Dmitry Kuchin, Multinear. It adds practical context for how teams are building and operating AI systems in production.
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How BlackRock Builds Custom Knowledge Apps at Scale — Vaibhav Page & Infant Vasanth, BlackRock
AI Engineer session on How BlackRock Builds Custom Knowledge Apps at Scale, presented by Vaibhav Page & Infant Vasanth, BlackRock. It adds practical context for how teams are building and operating AI systems in production.
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Why ChatGPT Keeps Interrupting You — Dr. Tom Shapland, LiveKit
AI Engineer session on Why ChatGPT Keeps Interrupting You, presented by Dr. Tom Shapland, LiveKit. It adds practical context for how teams are building and operating AI systems in production.
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Infrastructure for the Singularity — Jesse Han, Morph
AI Engineer session on Infrastructure for the Singularity, presented by Jesse Han, Morph. It adds practical context for how teams are building and operating AI systems in production.
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State of Startups and AI 2025 - Sarah Guo, Conviction
AI Engineer session on State of Startups and AI 2025 - Sarah Guo, Conviction. It adds practical context for how teams are building and operating AI systems in production.
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Information Retrieval from the Ground Up - Philipp Krenn, Elastic
AI Engineer session on Information Retrieval from the Ground Up - Philipp Krenn, Elastic. It adds practical context for how teams are building and operating AI systems in production.
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Why you should care about AI interpretability - Mark Bissell, Goodfire AI
AI Engineer session on Why you should care about AI interpretability - Mark Bissell, Goodfire AI. It adds practical context for how teams are building and operating AI systems in production.
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Strategies for LLM Evals (GuideLLM, lm-eval-harness, OpenAI Evals Workshop) — Taylor Jordan Smith
AI Engineer session on Strategies for LLM Evals (GuideLLM, lm-eval-harness, OpenAI Evals Workshop), presented by Taylor Jordan Smith. It adds practical context for how teams are building and operating AI systems in production.
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Wisdom-Driven Knowledge Augmented Generation at Scale - Chin Keong Lam, Patho AI
AI Engineer session on Wisdom-Driven Knowledge Augmented Generation at Scale - Chin Keong Lam, Patho AI. It adds practical context for how teams are building and operating AI systems in production.
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Introduction to LLM serving with SGLang - Philip Kiely and Yineng Zhang, Baseten
AI Engineer session on Introduction to LLM serving with SGLang - Philip Kiely and Yineng Zhang, Baseten. It adds practical context for how teams are building and operating AI systems in production.
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Rise of the AI Architect — Clay Bavor, Cofounder, Sierra w/ Alessio Fanelli
AI Engineer session on Rise of the AI Architect, presented by Clay Bavor, Cofounder, Sierra w/ Alessio Fanelli. It adds practical context for how teams are building and operating AI systems in production.
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2025 is the Year of Evals! Just like 2024, and 2023, and … — John Dickerson, CEO Mozilla AI
AI Engineer session on 2025 is the Year of Evals! Just like 2024, and 2023, and …, presented by John Dickerson, CEO Mozilla AI. It adds practical context for how teams are building and operating AI systems in production.
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Form factors for your new AI coworkers — Craig Wattrus, Flatfile
AI Engineer session on Form factors for your new AI coworkers, presented by Craig Wattrus, Flatfile. It adds practical context for how teams are building and operating AI systems in production.
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Useful General Intelligence — Danielle Perszyk, Amazon AGI
AI Engineer session on Useful General Intelligence, presented by Danielle Perszyk, Amazon AGI. It adds practical context for how teams are building and operating AI systems in production.
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Your realtime AI is ngmi — Sean DuBois (OpenAI), Kwindla Kramer (Daily)
AI Engineer session on Your realtime AI is ngmi, presented by Sean DuBois (OpenAI), Kwindla Kramer (Daily). It adds practical context for how teams are building and operating AI systems in production.
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Designing AI-Intensive Applications - swyx
AI Engineer session on Designing AI-Intensive Applications - swyx. It adds practical context for how teams are building and operating AI systems in production.
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Vision AI in 2025 — Peter Robicheaux, Roboflow
AI Engineer session on Vision AI in 2025, presented by Peter Robicheaux, Roboflow. It adds practical context for how teams are building and operating AI systems in production.
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Building Alice’s Brain: an AI Sales Rep that Learns Like a Human - Sherwood & Satwik, 11x
AI Engineer session on Building Alice’s Brain: an AI Sales Rep that Learns Like a Human - Sherwood & Satwik, 11x. It adds practical context for how teams are building and operating AI systems in production.
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The Next Unicorns: 7 Top AI startups from the HF0 Residency
AI Engineer session on The Next Unicorns: 7 Top AI startups from the HF0 Residency. It adds practical context for how teams are building and operating AI systems in production.
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Evals Are Not Unit Tests — Ido Pesok, Vercel v0
AI Engineer session on Evals Are Not Unit Tests, presented by Ido Pesok, Vercel v0. It adds practical context for how teams are building and operating AI systems in production.
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Why We Don’t Need More Data Centers - Dr. Jasper Zhang, Hyperbolic
AI Engineer session on Why We Don’t Need More Data Centers - Dr. Jasper Zhang, Hyperbolic. It adds practical context for how teams are building and operating AI systems in production.
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The Future of Evals - Ankur Goyal, Braintrust
AI Engineer session on The Future of Evals - Ankur Goyal, Braintrust. It adds practical context for how teams are building and operating AI systems in production.