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Insights into the Functioning of Transformer Model
The transformer model encodes associations and context-based weights for words, enabling it to make predictions based on the context. This context and attention on words and surrounding context influences the model's predictions. It assigns different variations of predictions for different contexts and can learn to prioritize certain associations over others based on the given context.