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Intro
MLOps is an extension of DevOps. Not a fork
Experiment tracking, model versioning, and ML metadata store components
ML team composition
Are ML and Dev/DevOps teams more aligned now than they were a year ago?
Tecton and ClearML reports
LLMOps vs. MLOps
What aspects of Ops have become 10x more critical than they used to be in the context of LLMs?
What major subproblems in LLMs remain unsolved as we transition into 2024?
More layers and more neurons