Browse entries 457–480 of 1032. Return to the first page to search and filter the complete collection.
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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.
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AI Engineer session on Agentic GraphRAG: AI’s Logical Edge, presented by Stephen Chin, Neo4j. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Agentic GraphRAG: Simplifying Retrieval Across Structured & Unstructured Data, presented by Zach Blumenfeld. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on CIAM for AI: Authn/Authz for Agents, presented by Michael Grinich, CEO of WorkOS. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Full Spec MCP: Hidden Capabilities of the MCP spec, presented by Harald Kirschner, Microsoft/VSCode. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on MCP Is Not Good Yet, presented by David Cramer, Sentry. It adds practical context for how teams are building and operating AI systems in production.
![[Workshop] AI Pipelines and Agents in Pure TypeScript with Mastra.ai — Nick Nisi, Zack Proser video thumbnail](https://i.ytimg.com/vi/FWlRHPZWyHE/hqdefault.jpg)
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AI Engineer session on [Workshop] AI Pipelines and Agents in Pure TypeScript with Mastra.ai, presented by Nick Nisi, Zack Proser. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Securing Agents with Open Standards, presented by Bobby Tiernay and Kam Sween, Auth0. It adds practical context for how teams are building and operating AI systems in production.