LUMOS is a Retrieval-Augmented Generation (RAG) based project designed to help college students. Leveraging the LLAMA 2 language model, LUMOS provides a conversational interface for students to ask syllabus-related questions and receive concise, syllabus-focused answers.
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Syllabus-Focused Answering: LUMOS's core strength is providing answers directly aligned with the queried syllabus. This sets it apart from general-purpose search engines.
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Comprehensive Dataset: It has been trained on scraped datasets from GFG and from some authentic textbooks.
Contributions to LUMOS are welcome! To contribute:
- Fork the repository
- Make changes and commit to your fork
- Submit a pull request for review
This project is licensed under the MIT License - see the LICENSE file for details.
This project is under development. We'll be ready to share it soon.