Ken Russell

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2024

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Evaluation and Continual Improvement for an Enterprise AI Assistant
Akash Maharaj | Kun Qian | Uttaran Bhattacharya | Sally Fang | Horia Galatanu | Manas Garg | Rachel Hanessian | Nishant Kapoor | Ken Russell | Shivakumar Vaithyanathan | Yunyao Li
Proceedings of the Fifth Workshop on Data Science with Human-in-the-Loop (DaSH 2024)

The development of conversational AI assistants is an iterative process with many components involved. As such, the evaluation and continual improvement of these assistants is a complex and multifaceted problem. This paper introduces the challenges in evaluating and improving a generative AI assistant for enterprise that is under active development and how we address these challenges. We also share preliminary results and discuss lessons learned.
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