- Understanding Query, Key, Value in Transformers and LLMs
This self-attention process is at the core of what makes transformers so powerful. They allow every word (or token) to dynamically adjust its importance based on the surrounding context, leading to a more accurate and nuanced understanding as the model processes multiple layers of the network.
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Must-Read Starter Guide to Mastering Attention Mechanisms in Machine Learning
- Soft Attention
- Hard Attention
- Self-Attention
- Global Attention
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Explainable AI: Visualizing Attention in Transformers