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AI Engineering at Jane Street - John Crepezzi
AI Engineer session on AI Engineering at Jane Street - John Crepezzi. It adds practical context for how teams are building and operating AI systems in production.
Research archive, page 56
Browse entries 1321–1344 of 1685. Return to the first page to search and filter the complete collection.
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Claude plays Minecraft!
AI Engineer session on Claude plays Minecraft!. It adds practical context for how teams are building and operating AI systems in production.
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GitHub Next Explorations: Rahul Pandita
AI Engineer session on GitHub Next Explorations: Rahul Pandita. It adds practical context for how teams are building and operating AI systems in production.
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Running AI Application in Minutes w/ AI Templates: Gabriela de Queiroz, Pamela Fox, Harald Kirschner
AI Engineer session on Running AI Application in Minutes w/ AI Templates: Gabriela de Queiroz, Pamela Fox, Harald Kirschner. It adds practical context for how teams are building and operating AI systems in production.
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Knowledge Graphs & GraphRAG: Techniques for Building Effective GenAI Applications: Zach Blumenthal
AI Engineer session on Knowledge Graphs & GraphRAG: Techniques for Building Effective GenAI Applications: Zach Blumenthal. It adds practical context for how teams are building and operating AI systems in production.
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LLM Quality Optimization Bootcamp: Thierry Moreau and Pedro Torruella
AI Engineer session on LLM Quality Optimization Bootcamp: Thierry Moreau and Pedro Torruella. It adds practical context for how teams are building and operating AI systems in production.
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Don't just slap on a chatbot: building AI that works before you ask
AI Engineer session on Don't just slap on a chatbot: building AI that works before you ask. It adds practical context for how teams are building and operating AI systems in production.
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Scaling AI in Education: A Khanmigo case study: Shawn Jansepar
AI Engineer session on Scaling AI in Education: A Khanmigo case study: Shawn Jansepar. It adds practical context for how teams are building and operating AI systems in production.
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What It Actually Takes to Deploy GenAI Applications to Enterprises: Arjun Bansal and Trey Doig
AI Engineer session on What It Actually Takes to Deploy GenAI Applications to Enterprises: Arjun Bansal and Trey Doig. It adds practical context for how teams are building and operating AI systems in production.
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The era of unbounded products: Designing for Multimodal IO: Ben Hylak
AI Engineer session on The era of unbounded products: Designing for Multimodal IO: Ben Hylak. It adds practical context for how teams are building and operating AI systems in production.
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AI Platform Engineering: Patrick Debois
AI Engineer session on AI Platform Engineering: Patrick Debois. It adds practical context for how teams are building and operating AI systems in production.
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The Hidden Costs of Building Your Own RAG Stack — Ofer Vectara
AI Engineer session on The Hidden Costs of Building Your Own RAG Stack, presented by Ofer Vectara. It adds practical context for how teams are building and operating AI systems in production.
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Prompt Engineering Tactics: Dan Cleary
AI Engineer session on Prompt Engineering Tactics: Dan Cleary. It adds practical context for how teams are building and operating AI systems in production.
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Unlocking Developer Productivity across CPU and GPU with MAX: Chris Lattner
AI Engineer session on Unlocking Developer Productivity across CPU and GPU with MAX: Chris Lattner. It adds practical context for how teams are building and operating AI systems in production.
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EyeLevel Launch: Your RAG is Tripping, Here's the Real Reason Why
AI Engineer session on EyeLevel Launch: Your RAG is Tripping, Here's the Real Reason Why. It adds practical context for how teams are building and operating AI systems in production.
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Hypermode Launch: Kevin Van Gundy
AI Engineer session on Hypermode Launch: Kevin Van Gundy. It adds practical context for how teams are building and operating AI systems in production.
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From Software Developer to AI Engineer: Antje Barth
AI Engineer session on From Software Developer to AI Engineer: Antje Barth. It adds practical context for how teams are building and operating AI systems in production.
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Mastering LLM Inference Optimization From Theory to Cost Effective Deployment: Mark Moyou
AI Engineer session on Mastering LLM Inference Optimization From Theory to Cost Effective Deployment: Mark Moyou. It adds practical context for how teams are building and operating AI systems in production.
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Cooking with fire without burning down the kitchen: Dominik Kundel
AI Engineer session on Cooking with fire without burning down the kitchen: Dominik Kundel. It adds practical context for how teams are building and operating AI systems in production.
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AI Music Generation, From Prompt to Production: Phlo Young
AI Engineer session on AI Music Generation, From Prompt to Production: Phlo Young. It adds practical context for how teams are building and operating AI systems in production.
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What's new from Anthropic and what's next: Alex Albert
AI Engineer session on What's new from Anthropic and what's next: Alex Albert. It adds practical context for how teams are building and operating AI systems in production.
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Navigating AI’s Frontier in 2025 - Grace Isford, Lux Capital
AI Engineer session on Navigating AI’s Frontier in 2025 - Grace Isford, Lux Capital. It adds practical context for how teams are building and operating AI systems in production.
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Optimizing LLMs in Insurance with DSPy: Jeronim Morina
AI Engineer session on Optimizing LLMs in Insurance with DSPy: Jeronim Morina. It adds practical context for how teams are building and operating AI systems in production.
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Judging LLMs: Alex Volkov
AI Engineer session on Judging LLMs: Alex Volkov. It adds practical context for how teams are building and operating AI systems in production.