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IEEE P3429
Recommended Practices for Levels of Artificial Intelligence Generated Content Technologies
This recommended practice provides an overview of Artificial Intelligence Generated Content (AIGC) technologies, levels of those AICG technologies and defines…
This standard defines and provides criteria to measure the capabilities of foundation models. The standard focuses on measurable and objective…
This standard addresses the evaluation of safety, explainability, and stability of algorithms implementing autonomous driving levels, as defined by SAE…
This standard defines a comprehensive framework for federated machine learning of semantic information agents. It targets two primary layers: ⢅
This standard provides: 1. Agent Components: The building blocks and architectural elements that constitute an educational Large Language Model (LLM)…
Share your thoughts on this standard with the AI Standards Hub community here.
Share your thoughts on this standard with the AI Standards Hub community here.
Share your thoughts on this standard with the AI Standards Hub community here.
Share your thoughts on this standard with the AI Standards Hub community here.
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 standard addresses Artificial Intelligence (AI) risks such as malicious use, AI race, organizational risks, and rogue AI’s. The standard…