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Category: Attention Mechanism

  • RoPE, Clearly Explained

    RoPE, Clearly Explained Going beyond the math to build intuition The post RoPE, Clearly Explained appeared first on Towards Data Science. Lorenzo Cesconetto Go to original source

  • Kernel Case Study: Flash Attention

    Kernel Case Study: Flash Attention The attention mechanism is at the core of modern day transformers. But scaling the context window of these transformers was a major challenge, and it still is even though we are in the era of a million tokens + context window (Qwen 2.5 [1]). There are both considerable compute and memory…

  • A Simple Implementation of the Attention Mechanism from Scratch

    A Simple Implementation of the Attention Mechanism from Scratch Introduction The Attention Mechanism is often associated with the transformer architecture, but it was already used in RNNs. In Machine Translation or MT (e.g., English-Italian) tasks, when you want to predict the next Italian word, you need your model to focus, or pay attention, on the…