MLOps.community
MLOps.community
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The MLOps Community fills the swiftly growing need to share real-world Machine Learning Operations best practices from engineers in the field. While MLOps shares a lot of ground with DevOps, the differences are as big as the similarities. We needed a community laser-focused on solving the unique challenges we deal with every day building production AI/ML pipelines. We're in this together...
Leading Enterprise Data Teams // Sol Rashidi // MLOps Podcast #227
MLOps.community
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3d ago
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The Changing Face of AI Engineering // Amritha Arun Babu & Abhik Choudhury // Podcast #221 clip
MLOps.community
by MLOps.community
4d ago
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Building Conversational AI Agents with Voice // Michelle Chan // AI in Production Conference
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by MLOps.community
4d ago
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Reliable Hallucination Detection in Large Language Models // Jiaxin Zhang // AI in Production Talk
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by MLOps.community
4d ago
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Fostering Connections and Careers with MLOps Community // Demetrios Brinkmann // Podcast #220 clip
MLOps.community
by MLOps.community
5d ago
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Shipping LLMs: Buckle Up & Enjoy the Ride // Rex Harris // AI in Production Conference
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by MLOps.community
5d ago
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Accelerate ML Production with Agents // Salma Mayorquin // AI in Production Conference
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by MLOps.community
5d ago
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DSPy Assertions: Computational Constraints for Self-Refining LM Pipelines // Arnav Singhvi // Talk
MLOps.community
by MLOps.community
6d ago
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Making Sense of LLMOps // Maria Vechtomova & Başak Tuğçe Eskili // AI in Production Conference
MLOps.community
by MLOps.community
1w ago
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Beyond AGI, Can AI Help Save the Planet? // Patrick Beukema // MLOps Podcast #225
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by MLOps.community
1w ago
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