Content area

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.

Details

1009240
Identifier / keyword
Title
Evaluation and Continual Improvement for an Enterprise AI Assistant
Publication title
arXiv.org; Ithaca
Publication year
2024
Publication date
Dec 8, 2024
Section
Computer Science
Publisher
Cornell University Library, arXiv.org
Source
arXiv.org
Place of publication
Ithaca
Country of publication
United States
University/institution
Cornell University Library arXiv.org
e-ISSN
2331-8422
Source type
Working Paper
Language of publication
English
Document type
Working Paper
Publication history
 
 
Online publication date
2024-12-10
Milestone dates
2024-06-15 (Submission v1); 2024-12-08 (Submission v2)
Publication history
 
 
   First posting date
10 Dec 2024
ProQuest document ID
3082383924
Document URL
https://www.proquest.com/working-papers/evaluation-continual-improvement-enterprise-ai/docview/3082383924/se-2?accountid=208611
Full text outside of ProQuest
Copyright
© 2024. This work is published under http://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2024-12-11
Database
2 databases
  • ProQuest One Academic
  • ProQuest One Academic