Browse entries 505–528 of 1123. Return to the first page to search and filter the complete collection.
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AI Engineer session on The State of AI Code Quality: Hype vs Reality, presented by Itamar Friedman, Qodo. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Coding Evals: From Code Snippets to Codebases, presented by Naman Jain, Cursor. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Music from AIE Code Summit - Instrumentals. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Z.ai GLM 4.6: What We Learned From 100 Million Open Source Downloads, presented by Yuxuan Zhang, Z.ai. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Latent Space Paper Club: AIEWF Special Edition (Test of Time, DeepSeek R1/V3), presented by VIbhu Sapra. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The Unofficial Guide to Apple’s Private Cloud Compute - Jmo, CONFSEC. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Vibes won't cut it, presented by Chris Kelly, Augment Code. 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 defend your sites from AI bots, presented by David Mytton, Arcjet. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Make your LLM app a Domain Expert: How to Build an Expert System, presented by Christopher Lovejoy, Anterior. 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 Engineer’s Guide to Raising VC, presented by Dani Grant (Jam), Chelcie Taylor (Notable). It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Mentoring the Machine, presented by Eric Hou, Augment Code. 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 Improve your Vibe Coding, presented by Ian Butler. 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 look at your data, presented by Jeff Huber (Chroma) + Jason Liu (567). It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Serving Voice AI at $1/hr: Open-source, LoRAs, Latency, Load Balancing - Neil Dwyer, Gabber. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Evaluating AI Search: A Practical Framework for Augmented AI Systems, presented by Quotient AI + Tavily. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Beyond the Prototype: Using AI to Write High-Quality Code - Josh Albrecht, Imbue. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Building Effective Voice Agents, presented by Toki Sherbakov + Anoop Kotha, OpenAI. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on (possible dupe but better sound) What does Enterprise Ready MCP mean?, presented by Tobin South, WorkOS. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on "Data readiness" is a Myth: Reliable AI with an Agentic Semantic Layer, presented by Anushrut Gupta, PromptQL. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Stateful environments for vertical agents, presented by Josh Purtell, Synth Labs. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Building Multimodal AI Agents From Scratch, presented by Apoorva Joshi, MongoDB. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on To the moon! Navigating deep context in legacy code with Augment Agent, presented by Forrest Brazeal, Matt Ball. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Effective agent design patterns in production, presented by Laurie Voss, LlamaIndex. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on 12-Factor Agents: Patterns of reliable LLM applications, presented by Dex Horthy, HumanLayer. It adds practical context for how teams are building and operating AI systems in production.