Inference
The process of using a trained model to make predictions on new, unseen data.
In-depth explanation
Once a model is trained, inference is the deployment phase where the model processes new inputs and produces outputs. Inference needs to be fast and efficient, especially in production systems. Techniques like model optimization, quantization, and specialized hardware (GPUs, TPUs) help speed up inference.
Examples
Related terms
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An adversarial attack is a deliberate attempt to manipulate the inputs to an AI model in order to cause it to make errors or incorrect predictions, often by introducing subtle perturbations that are imperceptible to humans.
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