Multi-head Attention is a module for attention mechanisms that run through an attention mechanism several times in parallel. The independent attention outputs are then concatenated and linearly transformed into the expected dimension. It is a mechanism that allows the model to focus on different parts of the input sequence when processing information, making it highly effective for capturing complex relationships and dependencies within the data. For more details about Multi-Head attention, please visit our website.