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Understanding Transformers in NLP by Amirdha Varshini S is a document available to read on EtoBox.
What is Understanding Transformers in NLP about?
Recurrent neural networks (RNNs) have traditionally been used for natural language processing tasks but suffer from issues like vanishing gradients and inability to capture long-term dependencies. Transformers address these issues by using self-attention to process all tokens of a sequence in parallel rather than sequentially. Specifically, transformers use encoder-decoder attention and positional encodings to represent input sequences and generate output predictions. This parallel processing allows transfo
- Author
- Amirdha Varshini S
- Language
- EN