Contextual Word Embeddings
Matthew explains the importance of encoding context in word vectors for better understanding language meaning. He discusses the use of convolutional and recurrent neural network architectures for contextual word embeddings, highlighting the shift towards transformer models for improved performance in language processing.In this clip
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