The PRC does not yet have an omnibus AI regulation – instead, the PRC has adopted a sector driven approach. That said, there are relevant definitions under specific laws and regulations.

Under the GenAI Measures:

• "Generative AI technology" refers to "models and related technologies that have the ability to generate texts, images, audios, videos or other content."
• "Generative AI service provider" refers to "any organisation or individual that uses generative AI technology to provide generative AI services (including providing such services through providing programming interfaces or other means)."
• "Generative AI service user" refers to "any organisation or individual who uses generative AI services to generate content."

Under the Deep Synthesis Provisions:

• "Deep synthesis technology" refers to "any technology that employs deep learning, virtual reality or any other generative or synthetic algorithm to generate texts, images, audio, video, virtual scenes or other network information."
• "Deep Synthesis services provider" refers to "any organisation or individual who provides deep synthesis services."
• "Providers of technical support for deep synthesis services" refers to "any organisation or individual who provides technical support for deep synthesis services."
• "User of deep synthesis services" refers to "any organisation or individual who uses deep synthesis services to generate, reproduce, release or distribute information."
• "Training data" refers to "labelled or benchmark datasets used for training machine learning models."

Under the Recommendation Algorithms Provisions:

• "Application of recommendation algorithm technologies" refers to "using algorithm technologies such as generation and synthesis technology, personalised pushing technology, ranking and selection technology, retrieval and filtering technology, and dispatching and decision-making technology to provide users with information."

Under the AI Data Standard:

• "Pre-training" refers to "the training process in which a generative AI model acquires general knowledge using large-scale datasets."
• "Fine-tuning" refers to "the training process in which a generative AI model, based on pre-training, acquires context-specific service capabilities using data from specific sources."