About LLM Mistake
A community-driven platform dedicated to documenting and learning from AI language model errors
Our Mission
LLM Mistake aims to create a collaborative space where developers, researchers, AI enthusiasts, as well as all who use LLM can share and analyze mistakes made by Large Language Models. By documenting these errors, we help improve our understanding of AI limitations and contribute to the development of more reliable systems.
Our platform serves as both a learning resource and a research tool, enabling the community to identify patterns in AI behavior and develop better practices for working with language models.
Community-Driven
Join a growing community of AI practitioners sharing their experiences and insights.
Learning Resource
Learn from real-world examples of AI mistakes and understand their implications.
Open Discussion
Engage in meaningful discussions about AI behavior and potential solutions.
Continuous Improvement
Contribute to the ongoing development of AI systems through shared knowledge.
Who We Are
Xinyu Li
Researcher, Developer. Passionate about ensuring language models serve humanity responsibly.
Ruoming Jin
Professor of Computer Science at Kent State University.
Feodor Dragan
Professor of Computer Science at Kent State University.
Get Involved
There are many ways to contribute to the LLM Mistake project. Whether you're an AI researcher, developer, content creator, or simply interested in the field, your perspective is valuable.
- Submit examples of LLM mistakes you've encountered
- Participate in discussions and help analyze submitted errors
- Contribute to our open-source codebase
- Help categorize and document patterns in AI behavior