Attention Scores

Attention Score is a revolutionary concept in NLP and machine learning. Imagine reading an article; you don't give equal importance to every word, but rather focus on certain words that help you grasp the main idea. Similarly, the Attention Score mechanism allows models to focus on certain parts of the input data that are more relevant to a given task. For example, in language translation, certain words in English may have multiple meanings in another language. The attention mechanism ensures that the model selects the most contextually appropriate translation.

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