# STORM

> AI by Stanford researchers for generating encyclopedic pages mainly to accelerate the creation of well-researched articles

**Wikidata**: [Q137441532](https://www.wikidata.org/wiki/Q137441532)  
**Source**: https://4ort.xyz/entity/storm

## Summary
STORM is an artificial intelligence system developed by Stanford researchers to generate encyclopedic articles, accelerating the creation of well-researched content. It uses a large language model (LLM) to produce Wikipedia-like articles from scratch, incorporating citations through a multi-step process. The tool is designed to assist in drafting detailed, structured articles by leveraging internet search and retrieval techniques.

## Key Facts
- Developed by Stanford researchers, with a focus on automated article generation.
- Inception year: 2024, as documented in the arXiv paper "Synthesis of Topic Outlines through Retrieval and Multi-perspective Question Asking."
- Licensed under the MIT License, with source code available on GitHub.
- Primary programming language: Python.
- Related fields: Artificial intelligence, software projects, and free software.
- Official website: https://storm.genie.stanford.edu/.
- Source code repository: https://github.com/stanford-oval/storm.
- Generates articles in two steps: topic outline synthesis and multi-perspective question answering.

## FAQs
### Q: Who developed STORM?
A: STORM was created by researchers at Stanford University, specifically designed to automate the generation of encyclopedic content.

### Q: How does STORM generate articles?
A: STORM uses a two-step process: first synthesizing topic outlines through retrieval, then drafting content by asking multi-perspective questions to ensure comprehensive coverage and proper citations.

### Q: Is STORM open-source?
A: Yes, STORM is free software released under the MIT License, with its source code publicly available on GitHub.

## Why It Matters
STORM addresses the challenge of efficiently creating well-researched, structured encyclopedic articles by automating the drafting process. It combines large language model capabilities with structured retrieval and citation integration, offering a scalable solution for generating content that adheres to academic and journalistic standards. By streamlining research and organization, STORM has the potential to assist writers, educators, and researchers in producing high-quality articles faster, thereby democratizing access to knowledge creation. Its development reflects advancements in AI-driven content generation and its practical application in real-world workflows.

## Notable For
- **Two-Step Article Generation**: Breaks down article creation into outline synthesis and multi-perspective drafting, ensuring depth and citations.
- **Open-Source Accessibility**: Released under the MIT License, promoting transparency and community collaboration.
- **Integration of Citations**: Automatically incorporates references, a critical feature for credible encyclopedic content.
- **Stanford Affiliation**: Developed by a reputable academic institution, lending credibility to its methodology and application.

## Body
### Development
STORM was developed in 2024 by Stanford researchers, as detailed in their arXiv paper (https://arxiv.org/abs/2402.14207). The project focuses on automating the creation of encyclopedic articles using artificial intelligence.

### Technical Overview
- **Programming Language**: Built using Python.
- **Core Functionality**: Employs a large language model to generate articles in two stages: (1) synthesizing topic outlines via retrieval and (2) drafting content through multi-perspective question answering.
- **Citation Integration**: Automatically includes citations during the generation process, ensuring adherence to research standards.

### Applications
STORM is designed to accelerate the production of well-researched articles, particularly for platforms like Wikipedia. It assists in drafting detailed content, reducing the manual workload required for research and organization.

### Availability
- **License**: MIT License, allowing free use and modification.
- **Repository**: Hosted on GitHub at https://github.com/stanford-oval/storm.
- **Website**: Accessible at https://storm.genie.stanford.edu/, with documentation and demos available.

## References

1. [Source](https://github.com/stanford-oval/storm)
2. [Release 0.1.0. 2024](https://github.com/stanford-oval/storm/releases/tag/v0.1.0)
3. [Release 0.2.0. 2024](https://github.com/stanford-oval/storm/releases/tag/v0.2.0)
4. [Release 0.2.3. 2024](https://github.com/stanford-oval/storm/releases/tag/v0.2.3)
5. [Release 0.2.4. 2024](https://github.com/stanford-oval/storm/releases/tag/v0.2.4)
6. [Release 1.0.0. 2024](https://github.com/stanford-oval/storm/releases/tag/v1.0.0)
7. [Release 1.1.0. 2025](https://github.com/stanford-oval/storm/releases/tag/v1.1.0)
8. [Source](https://arxiv.org/abs/2402.14207)