fastLLaMa: An experimental high-performance framework for running Decoder-only LLMs with 4-bit quantization in Python using a C/C++ backend.

RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.

LLM Chatbot for Summarization and Q&A utilizes quantized Llama2 models, NVIDIA CUDA, and Gradio for efficient performance and interactive UI. Integrated LangChain for handling diverse NLP tasks across multiple file formats, including PDF, DOC, and Txt.