Browse entries 721–744 of 1025. Return to the first page to search and filter the complete collection.
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AI Engineer session on Does AI Actually Boost Developer Productivity? (100k Devs Study) - Yegor Denisov-Blanch, Stanford. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Beyond Conversation: Why Documents Transform Natural Language into Code - Filip Kozera. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Arrakis: How To Build An AI Sandbox From Scratch - Abhishek Bhardwaj, OpenAI. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on How to Build Your Own AI Data Center in 2025, presented by Paul Gilbert, Arista Networks. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The ROI of AI: Why you need Eval Framework - Beyang Liu. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Your Evals Are Meaningless (And Here’s How to Fix Them). It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on How to Fail at AI Strategy: Hamel Husain & Greg Ceccarelli. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Building security around ML: Dr. Andrew Davis. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on No-code fine-tuning: Mark Hennings. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Decoding the Decoder LLM without de code: Ishan Anand. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Creating and scaling your own custom copilots with Azure AI Studio: Hanchi Wang. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The AI emperor has no DAUs why most devs still don't use code AI: Quinn Slack. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Code Generation and Maintenance at Scale: Morgante Pell. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on A Practical Guide to Efficient AI: Shelby Heinecke. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on LLM Scientific Reasoning: How to Make AI Capable of Nobel Prize Discoveries: Hubert Misztela. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Vercel AI SDK Masterclass: From Fundamentals to Deep Research. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on AI Frontiers in Trust and Safety Combatting Multifaceted Harm on Tinder at Scale: Vibhor Kumar. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Copilots Everywhere: Thomas Dohmke and Eugene Yan. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Enhancing Quality and Security in CI: Gunjan Patel. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on GitHub's AI Powered Security Platform: Sarah Khalife. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Storyteller: Building Multi-modal Apps with TS & ModelFusion - Lars Grammel, PhD. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Move Fast Break Nothing: Dedy Kredo. It adds practical context for how teams are building and operating AI systems in production.
AI-based assistants or "agents" -- autonomous programs that have access to the user's computer, files, online services and can automate virtually any task -- are growing in popularity with developers and IT workers.
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AI Engineer session on Prompt Engineering and AI Red Teaming, presented by Sander Schulhoff, HackAPrompt/LearnPrompting. It adds practical context for how teams are building and operating AI systems in production.