Description: The unidirectional model is a type of language model architecture that processes data in a single direction, typically from left to right. This means that when generating text or performing natural language processing tasks, the model only considers the information that has been previously processed, without feedback from future data. This characteristic distinguishes it from bidirectional models, which can take into account the full context of a text sequence. Unidirectional models are particularly useful in tasks where the order of words is crucial, such as text generation, as they allow for narrative coherence and fluency in language production. However, their limitation lies in the fact that they cannot leverage information that may be present in words that have not yet been processed, which can affect the quality of context in certain applications. Despite this restriction, unidirectional models have proven effective in a range of language processing applications, such as machine translation and text generation, where the sequential flow of information is fundamental for understanding and producing language.
