Tune your AI Agent to best meet its KPI with a cyclic process of analyze, improve and simulate
Exploratory data analysis and interactive model-understanding and evaluation tool for chatbot training data and feedback
An open-source framework for robust, LLM-powered testing and tracing of conversational AI applications.
This is a repository for a Jupyter based tool to calculate Greedy Matching, Vector Extrema and Average Embedding evaluation metrics for generative AI chatbots
AI chatbot evaluation benchmark for mental health and suicide prevention with rule-based ethical alignment, inclusivity scoring, and sentiment analysis. Research paper submitted to AI & Society (Springer Nature) under review.
Evaluation results and experimental data for TRACER, demonstrating its effectiveness in discovering chatbot functionalities and detecting errors with coverage analysis and mutation testing.
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