Summary of Towards Automated Data Sciences with Natural Language and Sagecopilot: Practices and Lessons Learned, by Yuan Liao et al.
Towards Automated Data Sciences with Natural Language and SageCopilot: Practices and Lessons Learned
by Yuan Liao, Jiang Bian, Yuhui Yun, Shuo Wang, Yubo Zhang, Jiaming Chu, Tao Wang, Kewei Li, Yuchen Li, Xuhong Li, Shilei Ji, Haoyi Xiong
First submitted to arxiv on: 21 Jul 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL); Databases (cs.DB); Software Engineering (cs.SE)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper introduces SageCopilot, an advanced system that automates the data science pipeline, incorporating Large Language Models (LLMs), Autonomous Agents (AutoAgents), and Language User Interfaces (LUIs). The system employs a two-phase design: online refining of users’ inputs into executable scripts through In-Context Learning (ICL) and running the scripts for results reporting & visualization; offline preparing demonstrations requested by ICL in the online phase. SageCopilot uses trending strategies such as Chain-of-Thought and prompt-tuning to enhance performance. Empirical validation against prompt-based solutions demonstrates superior end-to-end performance in generating or executing scripts, offering results with visualization, backed by real-world datasets. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research paper creates a new system called SageCopilot that helps automate the process of working with data. It uses advanced language models and other technologies to make it easier for people to ask questions about their data and get answers in a way that’s easy to understand. The system has two parts: one part makes sure the user’s question is understood correctly, and the other part takes that understanding and turns it into results that can be visualized or reported on. The researchers tested this system against others and found that it worked better for most tasks. |
Keywords
» Artificial intelligence » Prompt
