Overview
Transformers have transformed the field of Natural Language Processing by introducing a novel architecture that leverages attention mechanisms. This allows models to process entire sequences of text simultaneously, improving their ability to understand context and relationships between words. As a r...
Key Terms
Example: Neural networks are used in image and speech recognition.
Example: Attention helps in translating sentences by focusing on relevant words.
Example: In the sentence 'The cat sat on the mat', self-attention helps identify 'the cat' as the subject.
Example: In translation, the encoder reads the source language, and the decoder produces the target language.
Example: BERT is a pre-trained model used for various NLP tasks.
Example: Fine-tuning BERT on a sentiment analysis dataset enhances its accuracy.