LARGE LANGUAGE MODELS NO FURTHER A MYSTERY

II-D Encoding Positions The attention modules never take into account the get of processing by style and design. Transformer [62] introduced “positional encodings” to feed information regarding the position with the tokens in input sequences.On this coaching goal, tokens or spans (a sequence of tokens) are masked randomly along with the model