LLama3-8B implementation using Huggingface
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Updated
Jun 9, 2024 - Jupyter Notebook
LLama3-8B implementation using Huggingface
💻 Hackable UI Generator with LLMs. Build quick MVP UIs with HTML, Tailwind, Font Awesome, Placehold.co and Groq for superfast 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.
Ask Wikipedia Pages ChatBot : Streamlit App, llama-index, llama3, HuggingFace embeddings
Simple ChatBot with Conversation Memory : Streamlit App, LangChain, llama3, StreamlitChatMessageHistory
"Ask your PDF" ChatBot : Streamlit App, LangChain, llama3, Nomic embeddings
📝 Blog Writer Crew AI Agents - Streamlit App 🖋️
📝 Streamlit App : Weekly News Letter Crew AI Agents 🖋️
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
Try it now
⚙️ Fine-Tune 🦙 Llama 3.1, Phi-3.. Models on custom DataSet using 🕴️ unsloth & Saving to HuggingFace Hub
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.
Advanced AI functionalities, including tool usage, context aware similarity with Ollama models
Cloning Yourself using your whatsapp chat history and training a model on it.
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.
Retrieval-Augmented Generation on YouTube transcripts and PDFs to deliver accurate and contextual answers.
Effortless Data Extraction, Powered by : Generative AI
A generalized framework for subspace tuning methods in parameter efficient fine-tuning.
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