What are the best practices for debugging AI code?
An example of an AI chatbot conversation about best practices for debugging AI code.
What are the best practices for debugging AI code?
Some best practices include using logging, unit tests, and visualizing data to understand model behavior.
How can I effectively use logging in my AI projects?
You can log key events, errors, and model predictions to track the flow and identify issues during execution.
What tools can help with visualizing data for debugging?
Tools like Matplotlib, Seaborn, and TensorBoard are great for visualizing data and model performance.
Are there specific unit testing frameworks for AI?
Yes, frameworks like PyTest and unittest in Python are commonly used for unit testing AI code.
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