This standard establishes a comprehensive set of criteria for the evaluation of Large Language Models (LLMs) and extends to multimodal models. Primarily, the standard provides a multi-dimensional evaluation framework for the users, teams, and enterprises who evaluate or use LLM technology or models. The standard describes a three-dimensional evaluation framework anchored in the principles of “versatility, intelligence, efficiency, and safety.” This framework is categorized under "capability-task-metrics" and encompasses evaluations at different stages, including foundation models, pre-training algorithms, and fine-tuning algorithms. The standard provides objective and subjective viewpoints and offers an extensive understanding of LLMs' multifaceted capabilities and potentialities. This comprehensive understanding greatly assists researchers and developers, as well as downstream users. Furthermore, the open-source evaluation platform operations embedded in the framework help stimulating innovation in model and algorithm research and drive forward their industrial applications.
- Standard Committee
- C/AISC - Artificial Intelligence Standards Committee
- Status
- Active PAR
- PAR Approval
- 2023-09-21
Working Group Details
- Society
- IEEE Computer Society
- Standard Committee
- C/AISC - Artificial Intelligence Standards Committee
- Working Group
-
AI-LME - AI Large Model Evaluation
- IEEE Program Manager
- Christy Bahn
Contact Christy Bahn - Working Group Chair
- Yonghua Lin
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