5 SIMPLE STATEMENTS ABOUT LANGUAGE MODEL APPLICATIONS EXPLAINED

II-D Encoding Positions The attention modules don't consider the order of processing by design. Transformer [62] introduced “positional encodings” to feed information about the position of the tokens in enter sequences.During this instruction aim, tokens or spans (a sequence of tokens) are masked randomly and the model is requested to predict