Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow

arXiv:2306.07209v2 Announce Type: replace
Abstract: Various industries such as finance, meteorology, and energy generate vast amounts of heterogeneous data every day. There is a natural demand for humans to manage, process, and display data efficiently. However, it necessitates labor-intensive efforts and a high level of expertise for these data-related tasks. Considering that large language models (LLMs) have showcased promising capabilities in semantic understanding and reasoning, we advocate that the deployment of LLMs could autonomously manage and process massive amounts of …

abstract arxiv autonomous copilot cs.ai cs.ce cs.cl data demand energy every expertise finance generate however humans industries labor meteorology natural process tasks type vast workflow