ConceptLLM Eval / LLM评估
LLM Evaluation
The methodology and engineering practice for assessing the output quality of large language models. Common approaches include model-based mutual evaluation and human-annotated datasets to measure accuracy, safety, and consistency. It is a core component of quality assurance in AI systems.
Timeline (last 90 days)
Sep 18
LLM Eval typically relies on a model-evaluates-model approach, or uses human-annotated golden datasets to measure output accuracy, safety, and stylistic consistency.
Unverified50%
Aug 16
LLM评估需同时考量事实准确性、指令遵循度、有害性、有用性和表达质量等多个维度，这些维度之间常存在张力
Unverified50%