This standard defines a comprehensive framework for federated machine learning of semantic information agents. It targets two primary layers: •…
IEEE The Institute of Electrical and Electronics Engineers
This standard defines and provides criteria to measure the capabilities of foundation models. The standard focuses on measurable and objective…
This standard specifies the architecture and technical requirements of differential privacy for personal information protection in Artificial Intelligence model training.…
This standard establishes a comprehensive set of criteria for the evaluation of Large Language Models (LLMs) and extends to multimodal…
For the software engineering life cycle empowered by Generative Pre-trained Transformer (GPT) this recommended practice specifies: • a description and…
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 comprehensive framework for understanding, defining, and evaluating AI risks, AI safety, AI trustworthiness, and AI…
This standard defines natural language interfaces that facilitate communication between Large Language Model (LLM) applications, agents, and human users. The…
This standard addresses Artificial Intelligence (AI) risks such as malicious use, AI race, organizational risks, and rogue AI’s. The standard…
This is an adoption of the Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI)–Technical Specification Neural Network Watermarking…
The standard specifies a type of compilation interface and its intermediate representation used for deep learning model computation tasks. This…
Specified in this standard are the aspects of communication process, general requirements, and data format of interfaces for multiple data…
