Prompt Content
Develop a simple anomaly detection model (e.g., a small neural network or an Isolation Forest) trained on 'normal' simulated sensor data. Use BentoML to package and deploy this model as a service that can be called by individual simulated UUVs for on-board, real-time anomaly flagging before sending aggregated data to the central fusion/Llama 3.1 component.
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