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.
💻 Hackable UI Generator with LLMs. Build quick MVP UIs with HTML, Tailwind, Font Awesome, Placehold.co and Groq for superfast generation⚡
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
Advanced AI functionalities, including tool usage, context aware similarity with Ollama models
LLama3-8B implementation using Huggingface
Ask Wikipedia Pages ChatBot : Streamlit App, llama-index, llama3, HuggingFace embeddings
Cloning Yourself using your whatsapp chat history and training a model on it.
⚙️ Fine-Tune 🦙 Llama 3.1, Phi-3.. Models on custom DataSet using 🕴️ unsloth & Saving to HuggingFace Hub
"Ask your PDF" ChatBot : Streamlit App, LangChain, llama3, Nomic embeddings
Effortless Data Extraction, Powered by : Generative AI
Try it now
Captionify is a versatile and user-friendly image captioning project that harnesses the power of two remarkable models: Llama-2-7b and Llama-3 for natural language understanding and Blip-Image-Captioning-Large for image caption generation.
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.
📝 Streamlit App : Weekly News Letter Crew AI Agents 🖋️
Retrieval-Augmented Generation on YouTube transcripts and PDFs to deliver accurate and contextual answers.
📝 Blog Writer Crew AI Agents - Streamlit App 🖋️
Simple ChatBot with Conversation Memory : Streamlit App, LangChain, llama3, StreamlitChatMessageHistory
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.
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