Revolutionizing Visual Analytics: Enhancing Human-AI Collaboration with Large Language Models

Description

Recent advances in Large Language Models (LLMs) have led to increased interest in leveraging these models to enhance human-AI collaboration in visual analytics. LLMs provide a common language between humans and machines, facilitating communication and collaboration in visual analytics workflows. They can also help bridge knowledge gaps between different stakeholders and enable more effective sharing of insights and recommendations.
In this talk, I will explore the benefits and challenges of integrating LLMs into visual analytics systems. I will discuss how LLMs can improve natural language understanding, enabling more personalized insights and recommendations. I will also discuss some examples of implementations of LLMs in visual analytics, including their use in generating natural language explanations and summaries of data, facilitating interactive and conversational interfaces, and identifying hidden trends and anomalies in the data.

Period	18 Apr 2023
Event title	2023 IEEE 16th Pacific Visualization Symposium (PacificVis)
Event type	Conference
Location	Seoul, Korea, Republic ofShow on map
Degree of Recognition	International