Sequence-to-sequence models

A powerful class of machine learning models, designed like a master storyteller, capable of transforming one sequence of data into another, weaving together patterns and relationships from the input to create a meaningful output.

Example

Sequence-to-sequence models are commonly employed in machine translation tasks. When given a sentence in one language, the model reads and encodes the input sentence, capturing its meaning and structure. It then decodes this information and generates a translated sentence in the target language, maintaining the original meaning and context.