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Three major improvements to the transformer architecture that everyone should know. They include Fast Attention, Rotary Positional Embeddings, and Multi-Query Attention. #machinelearning #largelanguagemodels #positionalencodings #flashattention #mulitqueryattention Useful Links: Learning position with Positional Encoding: https://www.scaler.com/topics/nlp/positional-encoding/ ROFORMER: ENHANCED TRANSFORMER WITH ROTARY POSITION EMBEDDING: https://arxiv.org/pdf/2104.09864.pdf Rotary Embeddings: A

Swin Transformer

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