What are some effective tools for testing AI models?
There are several tools available for testing AI models, such as TensorFlow Model Analysis, MLflow, and Weights & Biases. Each offers unique features for performance evaluation.
Can you explain how TensorFlow Model Analysis works?
TensorFlow Model Analysis is a library that allows you to evaluate and analyze machine learning models. It provides tools to visualize model performance across different slices of data.
What about tools for automated testing?
For automated testing, you might consider tools like TFX (TensorFlow Extended) or Apache Airflow, which help automate the workflow and testing of AI models.
Are there any open-source options?
Yes, many open-source options exist, such as MLflow, DVC (Data Version Control), and Great Expectations, which can help with model testing and validation.
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