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AI Engineer session on What Data from 20m Pull Requests Reveal About AI Transformation, presented by Nick Arcolano, Jellyfish. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The Infinite Software Crisis, presented by Jake Nations, Netflix. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on AI Consulting in Practice, presented by NLW, Superintelligent, @AIDailyBrief. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Building Cursor Composer, presented by Lee Robinson, Cursor. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on VoiceVision RAG - Integrating Visual Document Intelligence with Voice Response, presented by Suman Debnath, AWS. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Efficient Reinforcement Learning, presented by Rhythm Garg & Linden Li, Applied Compute. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on From Arc to Dia: Lessons learned building AI Browsers, presented by Samir Mody, The Browser Company of New York. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The Unreasonable Effectiveness of Prompt Learning, presented by Aparna Dhinakaran, Arize. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Compilers in the Age of LLMs, presented by Yusuf Olokoba, Muna. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Vision: Zero Bugs, presented by Johann Schleier-Smith, Temporal. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on No Vibes Allowed: Solving Hard Problems in Complex Codebases, presented by Dex Horthy, HumanLayer. It adds practical context for how teams are building and operating AI systems in production.
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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.
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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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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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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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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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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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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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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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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.