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Evaluation and Continual Improvement for an Enterprise AI Assistant
June 15, 2024 Β· Declared Dead Β· π DASH
"No code URL or promise found in abstract"
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Authors
Akash V. Maharaj, Kun Qian, Uttaran Bhattacharya, Sally Fang, Horia Galatanu, Manas Garg, Rachel Hanessian, Nishant Kapoor, Ken Russell, Shivakumar Vaithyanathan, Yunyao Li
arXiv ID
2407.12003
Category
cs.HC: Human-Computer Interaction
Citations
8
Venue
DASH
Last Checked
4 months ago
Abstract
The development of conversational AI assistants is an iterative process with multiple components. 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 enterprises, which is under active development, and how we address these challenges. We also share preliminary results and discuss lessons learned.
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