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Our tool supports a wide variety of ML models (both Deep learning based as well as classical ones, except for Video CNNs). Below are some of the sample use-cases:

1. LLMs: UpTrain tracks unseen prompts, logs model performance, and detects problematic prompts by analysing user behaviour.

2. Recommendation Systems: Use UpTrain to monitor popularity bias, recommendation quality across user groups etc.

3. Prediction Systems: Use UpTrain to monitor feature drift and the effectiveness of your predictions.

4. Computer Vision: Use UpTrain to measure drifts in the properties of your input image (brightness, intensity, temperature, model outputs etc.).