How do I choose the best AI project tools?
Choosing the best AI project tools depends on your specific needs. Are you looking for tools for data analysis, model training, or deployment?
I'm mainly focused on model training and deployment.
For model training, consider tools like TensorFlow or PyTorch. For deployment, you might look into Docker or Kubernetes. Do you have a preference for open-source or commercial tools?
I prefer open-source tools.
Great! TensorFlow and PyTorch are both excellent open-source options for training. For deployment, you can use tools like MLflow or Seldon. Would you like more details on any of these?
Yes, please provide more details on MLflow.
MLflow is an open-source platform that helps manage the ML lifecycle, including experimentation, reproducibility, and deployment. It integrates well with various libraries and frameworks.
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