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Seventy3: 用NotebookLM将论文生成播客,让大家跟着AI一起进步。
今天的主题是:DataLab: A Unified Platform for LLM-Powered Business IntelligenceSummary
The paper introduces DataLab, a unified business intelligence platform leveraging large language models (LLMs). DataLab integrates an LLM-based agent framework with a computational notebook interface to streamline various BI tasks across different data roles. Key features include a domain knowledge incorporation module to enhance LLM understanding of enterprise data, an inter-agent communication mechanism for efficient information sharing, and a cell-based context management strategy for optimized context utilization. Extensive experiments demonstrate DataLab's superior performance on multiple BI tasks compared to existing methods, achieving significant accuracy gains and cost reductions on real-world datasets. The platform aims to bridge the gap between different data roles, tools, and tasks within the BI workflow.
原文链接:https://arxiv.org/abs/2412.02205
Seventy3: 用NotebookLM将论文生成播客,让大家跟着AI一起进步。
今天的主题是:DataLab: A Unified Platform for LLM-Powered Business IntelligenceSummary
The paper introduces DataLab, a unified business intelligence platform leveraging large language models (LLMs). DataLab integrates an LLM-based agent framework with a computational notebook interface to streamline various BI tasks across different data roles. Key features include a domain knowledge incorporation module to enhance LLM understanding of enterprise data, an inter-agent communication mechanism for efficient information sharing, and a cell-based context management strategy for optimized context utilization. Extensive experiments demonstrate DataLab's superior performance on multiple BI tasks compared to existing methods, achieving significant accuracy gains and cost reductions on real-world datasets. The platform aims to bridge the gap between different data roles, tools, and tasks within the BI workflow.
原文链接:https://arxiv.org/abs/2412.02205