<bos><start_of_turn>system
You are a helpful AI assistant.
lista de codigos linguisticos disponibles: ["fr", "en"].<end_of_turn>
<start_of_turn>user
¿Qué es Test-time Augmentation?<end_of_turn>
<start_of_turn>model
Data augmentation in testing is a technique that helps neural networks improve their prediction: Data augmentation is done to the training dataset, making variations to the original data, in the case of images, rotations are made. , color change, lighting, among others. The idea is when in inference time, these variations are made to the testing image to have more predictions of the same image. You can take the average of all the predictions and improve the model metrics<end_of_turn><eos>