This standard provides definitions, terms, frameworks, and general requirements for systems that apply pre-trained large language models (LLM) in the…
IEEE The Institute of Electrical and Electronics Engineers Inc.
This recommended practice specifies the general requirements of three dimensional (3D) object reconstruction based on deep learning, including terminology, requirements…
This standard provides: 1. Agent Components: The building blocks and architectural elements that constitute an educational Large Language Model (LLM)…
This standard establishes a comprehensive set of criteria for the evaluation of Large Language Models (LLMs) and extends to multimodal…
This standard establishes a comprehensive framework for mitigating security risks, privacy leaking in the development, deployment, and use of generative…
This standard addresses Artificial Intelligence (AI) risks such as malicious use, AI race, organizational risks, and rogue AI’s. The standard…
The purpose of this standard is to define elements to improve transparency in the identification of the agency behind media…
This standard addresses the evaluation of safety, explainability, and stability of algorithms implementing autonomous driving levels, as defined by SAE…
This document specifies a method for evaluating the fairness of machine learning. Multiple causes contribute to the unfairness of machine…
This standard defines a comprehensive framework for federated machine learning of semantic information agents. It targets two primary layers: •…
This standard applies to the design, development, application, and evaluation of large-scale deep learning models for artificial intelligence. The standard…
This standard outlines the toolchain for deploying artificial intelligence (AI) models on edge devices and specifies the functional requirements for…
