👉 The exclude fluid, often referred to as the "exclusion layer" or "blocking layer," is a crucial component in certain neural network architectures, particularly in transformer models. It's designed to prevent the model from attending to irrelevant or noisy parts of the input sequence, thereby improving its focus on the most pertinent information. This is achieved by introducing a mechanism that effectively "excludes" or down-weights certain parts of the input, ensuring that the model's attention is directed towards key features and patterns. This selective attention mechanism enhances the model's performance, especially in tasks involving long sequences or complex data, by reducing interference from less significant details.
