bidirectional transformers
Bidirectional transformers are advanced models in natural language processing (NLP) that have the ability to process information in both forward and backward directions. They can understand the context of a word or phrase by considering both the words preceding and following it. This enables bidirectional transformers to capture more comprehensive contextual information and enhance the accuracy of language understanding and generation tasks.
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