storm

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.