Autodata: An agentic data scientist to create high quality synthetic data
- Published
- Source
- arXiv
- Paper number
- 497
- Field
- AI / General
- arXiv ID
- 2606.25996
Key points
- Autodata is a general method in which an AI agent acts as a data scientist to build high-quality training and evaluation data.
- The agent automates tool use, data curation, and evaluation to generate synthetic data.
Paper links
External research summaries. These are not HDATF publications or measured product results.