This article discusses the importance of evaluating conversational AI models and provides an overview of common metrics used, including perplexity and BLEU score.
The US government provides guidelines for evaluating conversational AI models, including metrics for measuring engagement, accuracy, and user experience.
This toolkit provides a set of metrics and tools for evaluating conversational AI models, including conversational accuracy and fluency metrics.
This article provides a comprehensive overview of conversational AI model evaluation metrics, including metrics for measuring conversational flow and coherence.
This research paper discusses the importance of human evaluation in conversational AI model evaluation and provides an overview of metrics used in human evaluation.
This video provides an overview of common metrics used to evaluate conversational AI models, including metrics for measuring user engagement and satisfaction.
This report provides an overview of conversational AI model evaluation metrics for businesses, including metrics for measuring ROI and customer satisfaction.
This open-source framework provides a set of metrics and tools for evaluating conversational AI models, including metrics for measuring conversational accuracy and fluency.