STORM: An LLM-Powered Knowledge Curation System
STORM is a cutting-edge knowledge curation system that leverages large language models (LLMs) to research topics and generate comprehensive reports with citations. It is designed to assist users in the pre-writing stage by automating the research process and providing structured outputs.
Key Features:
- Automated Research: STORM identifies core questions to ask about a topic, enhancing the depth and breadth of research.
- Collaborative Discourse: Co-STORM introduces a collaborative protocol that allows for smooth interaction between human users and AI agents, maintaining a dynamic mind map of collected information.
- Modular Design: Both STORM and Co-STORM are implemented in a modular way, allowing for customization and integration of various language models and retrieval systems.
- Multi-Perspective Question Asking: The system simulates conversations to gather diverse perspectives, enriching the research output.
- Article Generation: Generates full-length articles based on outlines and collected information, complete with citations.
Benefits:
- Enhanced Knowledge Exploration: Users can explore topics deeply and efficiently, making the research process less daunting.
- User-Friendly Interface: The system is designed for ease of use, with example scripts and clear installation instructions.
- Community Contributions: Open to feedback and contributions, fostering a collaborative development environment.
Highlights:
- Over 70,000 users have tried the live research preview.
- Continuous updates and improvements based on user feedback and research advancements.
STORM is ideal for researchers, writers, and anyone looking to streamline their knowledge curation process.
