ACCESS AI Chatbot Accuracy Enhancement

Onoyona, Oghenekome

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https://hdl.handle.net/2142/120911 Copy

Description

Title

ACCESS AI Chatbot Accuracy Enhancement

Author(s)

Onoyona, Oghenekome

Issue Date

2023-08-01

Keyword(s)

• ACCESS
• NSF
• STEP
• Student Training and Engagement Program
• AI
• Chatbot
• Cyberinfrastructure
• IvyQuantum
• ACCESS Confluence documentation
• data analysis
• analytical thinking

Abstract

This project aims to improve the functionality of the ACCESS Cyberinfrastucture AI Chatbot by enhancing the knowledge-base with concise information from the ACCESS Confluence documentation. The object of the chatbot is to provide user-friendly and convenient access to precise information which in turn, decreases the need for support ticket submissions and even human intervention. Advanced techniques and features from the platform IvyQuantum™ were employed to enhance the chatbot’s ability to process user queries and recover relevant responses. Throughout the project timeline, the chatbot’s accuracy saw a significant boost and notable improvement, establishing it as a valuable resource for future users attempting to find assistance within the ACCESS ecosystem. This research emphasizes the potential of AI’s ability to improve user experience and optimize the accessibility of information for members of the ACCESS community.

Type of Resource

text

Language

en

Sponsor(s)/Grant Number(s)

NSF OAC #2138307

Owning Collections