In this repository, I have explained the working of the LLaMA Model, provided the code for building it from scratch, and demonstrated how to train it.
-
Updated
Jun 18, 2024 - Python
In this repository, I have explained the working of the LLaMA Model, provided the code for building it from scratch, and demonstrated how to train it.
Implementation of a Question Answering System using LLMs
This Streamlit application allows users to upload multiple files (PDFs, DOCX, HTML, and images) and extract text from them. The extracted content is processed into text chunks, embedded into a FAISS vector store, and used for question-answering with the help of the Meta AI API.
AIPROJECTPAL is an AI assistant designed to help users overcome challenges in project implementation. It offers solutions, code generation, and knowledge retrieval across various domains. Developed by Team AIPROJECTPAL, led by Herish Chaniyara, it leverages advanced AI models to provide innovative solutions and continuous learning.
Add a description, image, and links to the metaai topic page so that developers can more easily learn about it.
To associate your repository with the metaai topic, visit your repo's landing page and select "manage topics."