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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…
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…
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.
This standard applies to the design, development, application, and evaluation of large-scale deep learning models for artificial intelligence. The standard…
This standard specifies the basic functions, performance requirements, software ecosystem, and application scenarios of the deep learning chip for the…