What are some effective AI testing tools I can use?
There are several effective AI testing tools available, such as TensorFlow, PyTorch, and Keras for model development, and tools like MLflow and Weights & Biases for tracking experiments.
Can you tell me more about MLflow?
MLflow is an open-source platform that helps manage the machine learning lifecycle, including experimentation, reproducibility, and deployment.
Are there any specific resources for learning how to use these tools?
Yes, you can find tutorials on the official websites of these tools, as well as courses on platforms like Coursera and Udacity.
What about testing frameworks for AI models?
For testing AI models, you can use frameworks like pytest for unit testing, and libraries like TensorFlow Model Analysis for evaluating model performance.
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