In sequence transduction models, the process of transforming input sequences into output sequences is primarily achieved through _______ mechanisms, which allow the model to weigh the importance of different parts of the input when generating each part of the output.

In sequence transduction models, the transformation from input to output is mainly carried out by attention mechanisms, which let the model assign different weights to each part of the input when producing each output token. Attention works by comparing the current output step with all input tokens and computing a score that reflects relevance. These scores are turned into a probability distribution, so the model can focus more on the most useful parts of the input. For example, when translating the sentence “I love Paris” to French, the attention mechanism will give higher weight to “Paris” when generating the French word “Paris” and to “I love” when generating “J’aime”. This selective weighing improves accuracy and efficiency in translating or generating sequences.