What is the difference between MLOps and DevOps?
An example of an AI chatbot conversation about MLOps and DevOps differences.
What is the difference between MLOps and DevOps?
MLOps focuses on machine learning lifecycle management, while DevOps is about software development and operations.
Can you explain the key components of MLOps?
Key components of MLOps include model training, deployment, monitoring, and versioning.
How do MLOps practices improve machine learning projects?
MLOps practices streamline collaboration, enhance reproducibility, and ensure faster deployment of ML models.
Are there any tools specifically for MLOps?
Yes, popular MLOps tools include MLflow, Kubeflow, and TFX.
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