bidirectional language model
A language model that determines the probability that a given token is present at a given location in an excerpt of text based on the preceding and following text.
Plain English Explanation
A language model that determines the probability that a given token is present at a given location in an excerpt of text based on the preceding and following text.
How is it used?
Practitioners refer to bidirectional language model when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.