Browse entries 889–912 of 1025. Return to the first page to search and filter the complete collection.
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AI Engineer session on Lessons from building GenAI based applications, presented by Juan Peredo. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on RAG at scale: production ready GenAI apps with Azure AI Search. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on AI Templates: Gabriela and Aishwarya. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on No more bad outputs with structured generation: Remi Louf. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Second Order Effects of AI: Cheng Lou. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Going beyond RAG: Extended Mind Transformers - Phoebe Klett. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Mission-Critical Evals at Scale (Learnings from 100k medical decisions). It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on AI Engineering Without Borders, presented by swyx. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Open Challenges for AI Engineering: Simon Willison. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on How Zapier Builds AI Products and Features with the Help of Braintrust: Ankur Goyal & Olmo Maldonado. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Realtime Data Connectivity for AI: Tanmai Gopal. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Building with Anthropic Claude: Prompt Workshop with Zack Witten. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The Hierarchy of Needs for Training Dataset Development: Chang She and Noah Shpak. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Building an AI assistant that makes phone calls [Convex Workshop]. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Real ROI: Lessons from Enterprises that have already succeeded with LLMs at Scale: Raza Habib. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on GraphRAG: The Marriage of Knowledge Graphs and RAG: Emil Eifrem. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Build enterprise generative AI apps using Llama 3 at 1,000 tokens/s on the SambaNova AI platform. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on E-Values Evaluating the Values of AI: Sheila Gulati and Nischal Nadhamuni. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Building LinkedIn's GenAI Platform, presented by Xiaofeng Wang. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Training Albatross An Expert Finance LLM: Leo Pekelis. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Low Level Technicals of LLMs: Daniel Han. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Pydantic is STILL all you need: Jason Liu. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Building efficient hybrid context query for LLM grounding: Simrat Hanspal. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Lessons From A Year Building With LLMs. It adds practical context for how teams are building and operating AI systems in production.