Browse entries 673–696 of 1025. Return to the first page to search and filter the complete collection.
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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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.
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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.