Natural language processing (NLP), a branch of artificial intelligence, addresses the understanding of human language (both in written and spoken form) by computers. As a scientific discipline, NLP covers tasks such as determining sentence structures and boundaries in documents, detecting keywords or phrases in audio recordings, inferring relationships between documents, and uncovering meaning in informal or slang speech patterns. NLP can make it possible to analyze oral data and recognize patterns that are not currently structured.
NLP holds the key to enabling major advances in text analysis and gaining deeper and potentially more powerful insights from social media data streams where slang or non-traditional language is prevalent.
Tongyi Qianwen is an artificial intelligence-powered language model developed by Alibaba, one of China's largest technology companies. Created with inspiration from major language models such as GPT (Generative Pre-trained Transformer), Tongyi Qianwen has a strong capacity for language processing and text production, especially in the Chinese language.
Attention mechanism is a technique that revolutionizes the world of artificial intelligence and deep learning in areas such as language processing, image recognition and even sound analysis.
Mixed workload is the capacity to support multiple applications with different SLAs in a single environment.
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