IA and Language Models: What Happens to Your Data?

TRIBUNE — Traditional training is based on large data sets of data, usually splintered data on the web, and then create large models, but it is far from representing the only training method. Let us take, for example, distilled models, they are smaller models in size, and parameters, trained with data sets that have thousands of valid questions/answers, obtained from very large models...