This article provides an overview of various techniques used to assess conversational AI models, including metrics such as perplexity and user satisfaction.
This course covers the fundamentals of conversational AI and provides hands-on experience with assessing conversational AI models using techniques such as dialogue evaluation and error analysis.
This book chapter discusses the challenges of assessing conversational AI models and presents opportunities for improving assessment techniques, including the use of human evaluation and automated metrics.
This toolkit provides a set of tools and metrics for evaluating conversational AI models, including conversational flow, coherence, and overall user experience.
This article discusses various assessment techniques for conversational AI models, including automated metrics, human evaluation, and hybrid approaches.
This report provides an overview of the current state of conversational AI assessment and evaluation, including the development of standardized metrics and evaluation protocols.
This video lecture covers various techniques used to assess conversational AI models, including dialogue evaluation, user satisfaction, and error analysis.
This research paper presents a framework for assessing conversational AI models, including a set of metrics and evaluation protocols for evaluating conversational flow, coherence, and overall user experience.