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PyTorch’s Torchtext library provides text preprocessing power for large datasets in very few lines of code! We are converting the entire vocab here to lowercase to avoid misconceptions and errors by the model. After the text preprocessing part in IMDB Reviews with NLP, we would be focusing on preparing the data that has to be fed for Language Modelling. Let’s get our data prepared! Firstly, FastAI is a library authentically designed for fine-tuning pre-trained models in very minimal lines of code. It focuses on developing language models with pre-trained weights which can be fine-tuned to our task-specific dataset. FILES-converts our dataset into the form of key-value pairs or a dictionary data type. Backpropagation Through Time. It is a training algorithm used to update weights in recurrent neural networks like LSTMs. Being a data-science and machine-learning practitioner, you must be well acquainted with machine learning models that cannot interpret words or English vocab.




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