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Zhihu, a high-quality Q&A community on the Chinese Internet and an original content platform where creators gather, was officially launched in January 2011 with the brand mission of "allowing people to better share knowledge, experience and insights, and find their own answers." Zhihu relies on seriousness and professionalism. This bert column is written by the author team of "Xi Xiaoyao's Cute House", a kol in the field of natural language processing. It helps novices and students with a certain foundation to quickly get started with bert, including interpretation of principles and source code, as well as improvements and talks on the bert system. Bert bert first of all, let us remind how bert processes information.
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Bert unifies these two stages. Bert is the most famous encoder only model and excels at tasks which require some level of language comprehension. Depending on a certain problem, bert accepts several input formats.
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As an input, it takes a [cls] token and two sentences separated by a. Despite being one of the earliest llms, bert has remained relevant even today, and continues to find applications in both research and industry. The framework for solving all downstream tasks with bert is the same:.
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For more details and authoritative references, refer to the official documentation on Wikipedia.
