This standard applies to the design, development, application, and evaluation of large-scale deep learning models for artificial intelligence. The standard…
United States
This standard outlines the toolchain for deploying artificial intelligence (AI) models on edge devices and specifies the functional requirements for…
This standard defines and provides criteria to measure the capabilities of foundation models. The standard focuses on measurable and objective…
This standard defines a unified text approach to describing neural network architectures. This standard specifies data requirements, coding formats of…
This standard specifies a domain-specific architecture for Large Language Models (LLMs) Management Platforms that includes: functional, service, and deployment requirements.…
This recommended practice provides a data processing framework for training large language models, refining the relevant terms and definitions. The…
This recommended practice provides a framework for the use of large-scale pre-trained deep learning models, including approaches, taxonomies, related roles,…
This recommended practice provides an overview of Artificial Intelligence Generated Content (AIGC) technologies, levels of those AICG technologies and defines…
For the software engineering life cycle empowered by Generative Pre-trained Transformer (GPT) this recommended practice specifies: • a description and…
This recommended practice delineates an architecture and offers suggestions for enhancing the generalizability of artificial intelligence (AI) models in medical…
This recommended practice specifies framework and evaluation methods of audio-driven portraits based on artificial intelligence. In this recommended practice, the…
This standard defines a framework including requirements and evaluation methods for a two-dimensional (2D) real-person digital clothes model generation system…
