Ai interference

Often referred to as AI inference, AI interference is the process utilized by a trained machine learning model to draw conclusions from new, unseen data. This capability enables the AI model to make decisions or predictions without requiring examples of the desired outcome. It is a critical component in the deployment of AI systems, allowing them to interact with real-world data and provide useful outputs.