LLM Tutor 🤖📚 - DEMO 🎬
Python | Langchain | Streamlit | Anaconda | ChromaDB | Scraping
LLM Tutor is an advanced information retrieval system designed to provide up-to-date and accurate information on Large Language Models (LLMs). It utilizes a RAG-based pipeline to extract and synthesize technical information from arXiv papers and online resources.
- 📊 Extracts information from arXiv's technical papers on LLM architectures
- 🔗 Utilizes content from aman.ai/primers/ai/LLM/
- 🧠 Implements a RAG-based pipeline for efficient information retrieval
- 📈 Provides latest insights on LLM applications and architectures
- Data Collection: Gathers technical papers from arXiv and content from specified online resources.
- Processing: Utilizes natural language processing techniques to extract relevant information.
- RAG Pipeline: Implements a Retrieval-Augmented Generation pipeline for accurate information synthesis.
- User Interface: Presents the processed information in an easy-to-understand format.
Contributions are welcome! Please feel free to submit a Pull Request.
- arXiv for providing access to technical papers
- aman.ai for valuable LLM resources
For any queries, please reach out to [email protected].
Happy Learning! 🎓🎉