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Transformer is arguably the most influential neon Network architecture in this video you and I will go through how a Transformer works and how various design choices are made H Transformer is a sequence to sequence model the original paper focuses on the machine translation problem converting text from one language to another if we open up the box of a transformer we see encoders that process the input text sequence and decoders to produce to Output s one at a time we start with a special identifier letamp;#39;s call it the star the decoders then predict the probability distributions of the next we sample the next based on this probability and Feit it back to the decoder we repeat this process and stop after sampling a special stop we call this Auto regressive models letamp;#39;s first look at how we represent the input text sequence we break them down into pieces and call them s each has a unique ID this is known as ization a simple way to represent s is to use one heart encoding we
