Examples of RAG using Llamaindex with local LLMs - Gemma, Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B

A Retrieval Augmented Generation (RAG) system using LangChain, Ollama, Chroma DB and Gemma 7B model.

Java Examples using Deep Learning 4 Java & LangChain4J for Generative AI using ChatGPT LLM, RAG and other open source LLMs. Sentiment Analysis, Application Context based ChatBots. Custom Data Handling. LLMs - GPT 3.5 / 4o, Gemini, Claude 3, Llama3, Phi-3, Gemma, Falcon 2, Mistral, Wizard Math

A repository to use large language models (LLMS) in book writing.

Examples of RAG using Llamaindex with local LLMs in Linux - Gemma, Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B

Tutor-Ai is a SaaS platform for teachers to manage class quizzes and grade student submissions using OCR technology. Built with Django, it features Llama-3 & Gemma:7b, Google Vision API integration for automatic grading, and is hosted on Google Cloud. It offers a secure, scalable, and user-friendly solution for educators.

Explore the power of Gemma model with GemGPT, a project leveraging AI for innovative solutions. Join us in shaping the future of AI!

Open-source project for running LLM agents in a user-friendly desktop app

My Deep Learning Projects (Classification, Segmentation, Object Detection, NLP, Deep Multiple Instance Learning)

A Flutter app that uses the Gemini API and Google Maps to provide travel information, nearby POIs, and customized routes, with Liquid Galaxy visualizations and voice integration.

Raysume 🔮: Make your Resume Faster than Ever with AI

Generate meeting summaries effortlessly using Whisper for speech-to-text and Gemma for summarization.

AI-Powered text-to-code using Google's Gemma open source model.

a simple chatbot made with streamlit , using models hosted on Groq Cloud.

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.