This standard defines a comprehensive framework for federated machine learning of semantic information agents. It targets two primary layers: •…
AI-specific
This standard provides: 1. Agent Components: The building blocks and architectural elements that constitute an educational Large Language Model (LLM)…
This standard addresses Artificial Intelligence (AI) risks such as malicious use, AI race, organizational risks, and rogue AI’s. The standard…
This recommended practice provides a comprehensive framework for understanding, defining, and evaluating AI risks, AI safety, AI trustworthiness, and AI…
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…
IEEE P3419
Standard for Large Language Model Evaluation
This standard establishes a comprehensive set of criteria for the evaluation of Large Language Models (LLMs) and extends to multimodal…
This recommended practice specifies tools and indexes for evaluating content generated by artificial intelligence technology. © Copyright 2024 IEEE –…
This recommended practice specifies framework and evaluation methods of audio-driven portraits based on artificial intelligence. In this recommended practice, the…
This standard applies to the design, development, application, and evaluation of large-scale deep learning models for artificial intelligence. The standard…
This standard defines a unified text approach to describing neural network architectures. This standard specifies data requirements, coding formats of…
This recommended practice specifies the general requirements of three dimensional (3D) object reconstruction based on deep learning, including terminology, requirements…
