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transformers are taking the natural language processing world by storm these incredible models are breaking multiple NLP records and pushing the state-of-the-art they are used in many applications like machine language translation conversational chat BOTS and even a power better search engines transformers are the rage and deep learning nowadays but how do they work why are they outperformed a previous king of sequence problems like recurrent neural networks gr use and LS tiens youamp;#39;ve probably heard of different famous transformer models like Burt CBT and GB t2 in this video weamp;#39;ll focus on the one paper that started it all attention is all you need to understand transformers we first must understand the attention mechanism to get an intuitive understanding of the attention mechanism letamp;#39;s start with a fun text generation model thatamp;#39;s capable of writing its own sci-fi novel weamp;#39;ll need to prime in a model with an arbitrary input and a model will ge
