Glossary
Unless otherwise specified, the following terms have the following meanings:
DHC Software, the Company, the Company, the Issuer | refers to DHC Software Co., Ltd.
This Offering, This Offering to Specific Objects | refers to the act of DHC Software Co., Ltd. issuing RMB ordinary shares (A shares) to specific objects in 2026.
Board of Directors | refers to the Board of Directors of DHC Software Co., Ltd.
Articles of Association | refers to the "Articles of Association of DHC Software Co., Ltd."
CSRC | refers to the China Securities Regulatory Commission
MIIT | refers to the Ministry of Industry and Information Technology of the People's Republic of China
MWR | refers to the Ministry of Water Resources of the People's Republic of China
SZSE | refers to the Shenzhen Stock Exchange
Big Data | refers to datasets that are too large or complex for traditional data processing application software to handle.
Cloud Computing | refers to a computing method based on the Internet, which is a fusion of grid computing, distributed computing, parallel computing, utility computing, network storage, virtualization, load balancing, and other traditional computer technologies and network technologies.
Artificial Intelligence, AI | refers to the theory, methods, technologies, and application systems for researching, developing, simulating, extending, and expanding human intelligence.
Generative Artificial Intelligence | refers to a branch of artificial intelligence that can independently generate new text, images, audio, video, code, 3D models, and other content that conforms to human cognition and usage requirements based on learning massive data patterns.
Large Model | refers to a large-scale deep learning model with billions of parameters in the field of artificial intelligence, pre-trained on massive multi-source data, with general intelligence capabilities.
Large Language Model | Large Language Model (abbreviated as "LLM") is a large-scale deep learning model based on massive text data for training, which can learn the semantic, syntactic, logical, contextual relationships, and knowledge patterns of human language, and realize multi-dimensional natural language processing capabilities such as text understanding, generation, and reasoning. It is the core technical foundation of generative AI.
Intelligent Agent | refers to an AI functional module with autonomous perception, decision-making, and execution capabilities, which can complete exclusive tasks for specific scenarios.
Training | refers to the process of obtaining the parameters of a machine learning/artificial intelligence model by using a large number of labeled samples and certain methods in the field of machine learning or artificial intelligence.
Inference | refers to the process of predicting new data labels using a trained model (a model whose parameters have been obtained through training) in the field of machine learning or artificial intelligence.
Decoupling | refers to reducing the interdependence between different components or modules in a software system.
Digital Twin | refers to a simulation process that fully utilizes data from physical models, sensors, and historical operating data, integrating multi-disciplinary, multi-physical, multi-scale, and multi-probability simulations to complete virtual space operations, thereby reflecting the entire lifecycle of corresponding physical equipment.