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15min chapter
787: MLOps: The Job and The Key Tools, with Demetrios Brinkmann
Super Data Science: ML & AI Podcast with Jon Krohn
Roles and Tools in MLOps
Exploring the various roles and responsibilities within a machine learning workflow, from ML engineers preparing models for production to ML ops professionals ensuring operational excellence. The chapter delves into tools like LLMOps, Llama Index, and OLama for orchestrating data and managing large language models, as well as the challenges and insights from a survey on MLOps practices and model evaluations. It concludes with discussions on creating benchmarks for machine learning models and the upcoming AI Quality Conference focusing on evaluating AI systems for trust and reliability.
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