There are 0 repository under llama3-8b topic.
A generalized framework for subspace tuning methods in parameter efficient fine-tuning.
Code for "Counterfactual Token Generation in Large Language Models", Arxiv 2024.
💻 Hackable UI Generator with LLMs. Build quick MVP UIs with HTML, Tailwind, Font Awesome, Placehold.co and Groq for superfast generation⚡
Financial CrewAI Agents (LangChain, YF Tools, Ai Crew, Groq Inference)
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.
Effortless Data Extraction, Powered by : Generative AI
📝 Blog Writer Crew AI Agents - Streamlit App 🖋️
Travel Planner Crew AI Agents - Streamlit App
This project clusters products by their titles and assigns topics. Initially using BERT, PCA, and t-SNE, the results were noisy. The improved approach with SBERT, UMAP, and HDBSCAN provides clearer clusters. Topics are assigned using Llama-3-8b.
📝 Streamlit App : Weekly News Letter Crew AI Agents 🖋️
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.
An AI-powered ATS-optimized cover letter generator leveraging LLaMA-3.1-8B-Instant via Groq's API
A Method to transform Datasets into Knowledge Graphs
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
"Ask your PDF" ChatBot : Streamlit App, LangChain, llama3, Nomic embeddings
A GenAI RAG assistant designed to comprehend your PDF's context and provide accurate answers to your questions quickly-give it a try!
LLama3-8B implementation using Huggingface
Langchain AI Search Agent
Retrieval-Augmented Generation on YouTube transcripts and PDFs to deliver accurate and contextual answers.
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.
🎯 Fine-tuning LLMs using LlamaFactory for financial intent understanding | Evaluating open-source models on OpenFinData benchmark | Full implementation with multiple models (Qwen2.5/ChatGLM3/Baichuan2/Llama3)
Trained and evaluated traditional ML models, fine-tuned Dolphin 2.9.4 based on the Llama 3.1 (8B) model, and processed Bangla text to classify sentiments. (bnlp, nltk, bnlp_toolkit, banglanltk, huggingface_hub, transformers, torch)
Relation Discovery in Unstructured Text
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.
Ask Wikipedia Pages ChatBot : Streamlit App, llama-index, llama3, HuggingFace embeddings
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.
⚙️ Fine-Tune 🦙 Llama 3.1, Phi-3.. Models on custom DataSet using 🕴️ unsloth & Saving to HuggingFace Hub
Simple ChatBot with Conversation Memory : Streamlit App, LangChain, llama3, StreamlitChatMessageHistory
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.
Try it now
This repository showcases a Streamlit-based application that leverages Langchain and Ollama to interact with a locally hosted large language model (LLM)
Wikipedia AI agent research assistant. LangChain's LangGraph's ReAct agent architecture, LLMs (OpenAI, Anthropic, Google), Wikipedia API, RAG with FAISS vector db, semantic chunking, GraphRAG, Streamlit frontend, terminal and web interfaces