Variational inference improves Generative AI for anomaly detection by approximating complex probability distributions efficiently.
Here is the code snippet you can refer to:

In the above code we are using the following key points:
- Latent Space Learning: Captures normal patterns, making anomalies easier to detect.
- Efficient Approximation: Handles high-dimensional probability distributions effectively.
- Uncertainty Quantification: Provides confidence scores for anomaly detection.
- Generative Capability: Can synthesize realistic data for model validation.
Hence, by referring to above, you can improve Generative AI for anomaly detection.