In NLP, which technique allows a model to pay different amounts of attention to different words when processing a sequence?
- One-Hot Encoding
- Word Embeddings
- Attention Mechanism
- Bag of Words (BoW)
The attention mechanism in NLP allows a model to pay different amounts of attention to different words when processing a sequence. This mechanism is a fundamental component of transformer-based models like BERT and GPT, enabling them to capture contextual information and understand word relationships in sentences, paragraphs, or documents.
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