自然语言处理模型技术竞争白热化，市场前景回温向好

Abstract:In 2021，the breakthroughs of huge pre-training language models and training paradigms have further promoted the applying capacity and the model training efficiency of Natural Language Processing （NLP） technology，and then have led to the development of downstream technologies such as Knowledge Graph and Intelligent Speech，accelerating the applying of NLP in industries of finance，medical and healthcare，Internet，and security. As a result，both the NLP market size and the NLP investments have notably raised. Meanwhile，apart from the performance of language models，the technical accountability of ever-expanding language models，the capability of widespread industrial use，and the social concerns of AI ethnic and monopoly caused by the dependency of NLP have also been growingly concerned by researchers around the world.

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