UniDM: A Unified Framework for Data Manipulation with Large Language Models

Understand

Designing effective data manipulation methods is a long standing problem in data lakes.

• Traditional methods, which rely on rules or machine learning models, require extensive human efforts on training data collection and tuning models.
• Recent methods apply Large Language Models (LLMs) to resolve multiple data manipulation tasks.
• They exhibit bright benefits in terms of performance but still require customized designs to fit each specific task.