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show former better language modeling using shorter inputs its a very interesting concept why is this paper spatial it proposes a stage chaining method which allows you to feed the you train the model with shorter sequences first then in the later stage you feel longer sequences in the model training they found out do if you use this training routine your model will have a better training efficiency and also a better performance and they also propose a ways to lay the model be able to cache to cache and condition on the previous previously processed sequence lets say we have two sequences and the model is processing sequence number two in the traditional way the transformer has no way to access the information in the sequence number one so thats really really becoming a problem and this paper proposed a way they basically modify the position of invading and the 80-some cage mechanisms to lady model be able to access the information that happened in the previous sequence and how they
