Transformers oversimplified

#artificialintelligence 

Deep learning has kept evolving throughout the years. And that is an important reason for its reputation. Deep learning practices highly emphasize the use of large buckets of parameters to extract useful information about the dataset we're dealing with. By having a large set of parameters, it becomes easier to classify/detect something as we have more data to identify distinctly. One notable milestone in the journey of Deep Learning so far, and specifically in Natural Language Processing, was the introduction of Language Models that highly improved the accuracy and efficiency of doing various NLP tasks. A sequence-sequence model is an encoder-decoder mechanism-based model that takes a sequence of inputs and returns a sequence of outputs as result.

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