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Research on the Application of ChatGPT-like Language Models in Hydropower Stations
With the rapid development of artificial intelligence technology, the application of Natural Language Processing (NLP) across various industries has become a hot research topic. In particular, ChatGPTlike language models, with their capabilities in understanding and generating natural language, show great potential in information processing, automation control, and decision support systems. Hydropower stations, as important renewable energy power plants, play a crucial role in energy supply and environmental protection with their safe, economical, and efficient operations. This paper aims to explore the application of ChatGPTlike language models in hydropower stations, analyze potential application scenarios, and discuss challenges and solution strategies in implementation, in order to provide new technological paths for the future development of hydropower stations.
Research on the Application of ChatGPT-like Language Models in Hydropower Stations
With the rapid development of artificial intelligence technology, the application of Natural Language Processing (NLP) across various industries has become a hot research topic. In particular, ChatGPTlike language models, with their capabilities in understanding and generating natural language, show great potential in information processing, automation control, and decision support systems. Hydropower stations, as important renewable energy power plants, play a crucial role in energy supply and environmental protection with their safe, economical, and efficient operations. This paper aims to explore the application of ChatGPTlike language models in hydropower stations, analyze potential application scenarios, and discuss challenges and solution strategies in implementation, in order to provide new technological paths for the future development of hydropower stations.
Research on the Application of ChatGPT-like Language Models in Hydropower Stations
Zhu Jia (Autor:in) / Zhang Leifang (Autor:in) / Lu Jianxiong (Autor:in) / Wu Xuelu (Autor:in) / Wei Caiyun (Autor:in)
2024
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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