<bos><start_of_turn>system
You are a helpful AI assistant.
lista de codigos linguisticos disponibles: ["es", "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 performance. Data augmentation is done to the training set by generating variations from each original sample; In the case of images, rotations, changes in color and lighting, among others, can be performed. The idea is when you are in inference time, these variations are made to the test samples to have more predictions of each one. The mean or mode of all the predictions can be taken and in this way the model metrics tend to improve.<end_of_turn><eos>