Definition: Retrainable is a term in artificial intelligence and machine learning that refers to a model or algorithm that can be trained using data from previous iterations of the training process. This means that the model is capable of learning from the experiences it has encountered, which allows it to make predictions or decisions based on its own learned knowledge. Retraining involves updating the model with new, unseen data in order to improve its performance and adapt to changing patterns or environments.
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