A generalized framework for subspace tuning methods in parameter efficient fine-tuning.
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Updated
Sep 16, 2024 - Python
A generalized framework for subspace tuning methods in parameter efficient fine-tuning.
Effortless Data Extraction, Powered by : Generative AI
📝 Blog Writer Crew AI Agents - Streamlit App 🖋️
The Pictionary app uses LLaMA 3.1 to generate random drawing prompts and LLaMA 3.2 Vision to predict and judge user drawings based on these prompts. It provides an interactive and fun way to test your drawing skills within a set time limit.
Advanced AI functionalities, including tool usage, context aware similarity with Ollama models
"Ask your PDF" ChatBot : Streamlit App, LangChain, llama3, Nomic embeddings
RepoGenius aims to create a distributed system that, starting from a GitHub link or certain parameters, performs an analysis on the reference repository based on elements such as code, language or files
A GenAI RAG assistant designed to comprehend your PDF's context and provide accurate answers to your questions quickly-give it a try!
📝 Streamlit App : Weekly News Letter Crew AI Agents 🖋️
Ask Wikipedia Pages ChatBot : Streamlit App, llama-index, llama3, HuggingFace embeddings
This project is a search-powered AI chatbot built with Streamlit and LangChain, designed to retrieve information from multiple sources like Wikipedia, Arxiv, and DuckDuckGo. It leverages LangChain's agent framework and Groq API for real-time, intelligent responses.
This repository contains a real-time chatbot app using Groq's API and various LLMs. Built with Streamlit, it provides an interactive interface to select and chat with different models. Users can easily set up and run the chatbot locally.
Simple ChatBot with Conversation Memory : Streamlit App, LangChain, llama3, StreamlitChatMessageHistory
A Streamlit app that lets you chat with your PDF documents. Upload a PDF, ask questions, and get accurate answers using open-source HuggingFace and Llama Index models. Perfect for quickly extracting information from your documents.
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