How does attention work in transformers?
An example of an AI chatbot conversation about attention mechanisms in transformer models.
Can you explain how attention works in transformer models?
Sure! Attention in transformers allows the model to focus on different parts of the input sequence when making predictions.
What are the different types of attention mechanisms used?
There are several types, including self-attention, multi-head attention, and cross-attention, each serving different purposes.
How does self-attention differ from regular attention?
Self-attention computes attention scores within the same sequence, while regular attention can focus on different sequences.
Why is attention important for natural language processing?
Attention helps models understand context and relationships in language, improving tasks like translation and summarization.
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