This content is a summary of an article titled “CNNs and RNNs vs. Transformers” written by Rokas Liuberskis. The article discusses the implementation of transformers step-by-step in TensorFlow for machine learning tasks. The author also mentions that the created layers will be included in the “mltu” PyPi library for easy reusability. The article concludes by mentioning that practical examples of training and using transformers in NLP tasks will be provided in future tutorials. Overall, the article focuses on implementing the Transformer model for machine translation.

source update: A Step-by-Step NLP Tutorial… – Towards AI