多智能体框架让AI自动理解模糊提问并生成精准分析与可视化。
Multi-Agent Actor-Critic Generative AI for Query Resolution and Analysis
- 用三个生成式智能体协作：生成、辩论优化、专家解读。
- 自然语言转可视化任务准确率达87%，显著优于现有方法。
- 适合需要快速数据洞察的场景，如商业分析、科研决策。
本文提出MASQRAD（多智能体战略查询解析与诊断工具），一种基于演员-评论家模型的变革性框架，通过多个生成式AI智能体实现查询解析。该框架擅长将模糊或不明确的用户提问转化为精确且可操作的请求，自动生成相关可视化和响应，并提供深入分析与见解。针对现有方案在需快速精准数据解读领域（如无法生成可行动洞察、难以处理查询歧义）的常见缺陷，MASQRAD以多智能体系统形式运行，但对用户呈现为单一AI实体，降低错误率并提升交互体验。其包含三个核心生成式智能体：演员生成式AI负责在操作约束下生成用于大数集可视化的Python脚本；评论家生成式AI通过多智能体辩论严格优化脚本；专家分析生成式AI则对结果进行上下文化，辅助决策。在自然语言可视化任务中，其准确率达87%，树立了自动化数据解读的新基准，展现出革新AI驱动应用的巨大潜力。
原文摘要 · Abstract (English)
In this paper, we introduce MASQRAD (Multi-Agent Strategic Query Resolution and Diagnostic tool), a transformative framework for query resolution based on the actor-critic model, which utilizes multiple generative AI agents. MASQRAD is excellent at translating imprecise or ambiguous user inquiries into precise and actionable requests. This framework generates pertinent visualizations and responses to these focused queries, as well as thorough analyses and insightful interpretations for users. MASQRAD addresses the common shortcomings of existing solutions in domains that demand fast and precise data interpretation, such as their incapacity to successfully apply AI for generating actionable insights and their challenges with the inherent ambiguity of user queries. MASQRAD functions as a sophisticated multi-agent system but "masquerades" to users as a single AI entity, which lowers errors and enhances data interaction. This approach makes use of three primary AI agents: Actor Generative AI, Critic Generative AI, and Expert Analysis Generative AI. Each is crucial for creating, enhancing, and evaluating data interactions. The Actor AI generates Python scripts to generate data visualizations from large datasets within operational constraints, and the Critic AI rigorously refines these scripts through multi-agent debate. Finally, the Expert Analysis AI contextualizes the outcomes to aid in decision-making. With an accuracy rate of 87\% when handling tasks related to natural language visualization, MASQRAD establishes new benchmarks for automated data interpretation and showcases a noteworthy advancement that has the potential to revolutionize AI-driven applications.
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