Luong Attention

Luong Attention is a method used in machine learning, particularly in language models, to help the system focus on the most relevant parts of input data when generating output. Imagine reading a long paragraph and quickly referencing key sentences to understand context—Luong Attention works similarly. It assigns weights to different parts of the input, emphasizing certain words or phrases based on their relevance to the current task. This process improves the model's ability to produce accurate and context-aware responses by effectively "highlighting" important information during processing.