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Learn how to implement sentence similarity using BERT and PyTorch in this 21-minute Python tutorial. Explore the power of highly-dimensional NLP techniques as you convert sentences into vectors and measure their semantic similarity. Follow along step-by-step to tokenize sentences, create hidden state tensors, generate sentence vectors, and calculate cosine similarity. Gain practical insights into BERT's architecture and its application in natural language processing tasks.
