Popular GitHub Repositories for Largelanguagemodel

The world's smartest system-wide grammar assistant; a better version of the Apple Intelligence Writing Tools. Works on Windows, Linux, & macOS, with the free Gemini API, local LLMs, & more.

Create Own ChatGPT with your documents using streamlit UI on your own device using GPT models. No data leaves your device and 100% private.

This repo contains the resources, projects and documentation of mine while learning Large Language Model

Understanding Language Models in detail. The different architectures and all core concepts.

Fine-tuning Llama2-7b and other llms for categorising emails for Deutsche Bahn (German National Railways)

AI Lead Generation Agent that automatically discovers and qualifies potential leads from Quora. Using Firecrawl for intelligent web scraping, Phidata for agent orchestration, and Composio for Google Sheets integration, you'll create a system that can continuously generate and organize qualified leads with minimal human intervention!

Code of our paper "Method-Level Bug Severity Prediction using Source Code Metrics and LLMs" which is accepted to ISSRE 2023.

Jetta-Reinforcement-Learning-Hybrid-LLM-Architecture

Finetuning Mistral 7B on google colab

This Midjourney prompt generator makes digital creators life easier by generating some specific prompts for Midjourney which enables them to generate more accurate and realistic images as per their needs.

I’ll break down how hyperpersonalization is reshaping industries, from finance to banking, and how you can build your very own hyperpersonalization web app using Python, Machine Learning, Generative AI (GenAI), and open-source LLMs from Hugging Face.

An attempt to run ollama on kuberenetes

General purpose virtual assistant with GUI and LLMs.

A chatbot with both prompt and voicechat capabilities leveraging LangChain, Elasticsearch, and FastAPI. When using voicechat, the user can immerse themselves in the experience by selecting a narrator, like a pirate for instance.

learn about LLMs, providing resources, examples, and hands-on exercises. Utilizing various libraries and tools to implement and experiment in real-world.

This repository contains some of the most influential papers of on the RLHF technique of fine-tuning LLMs.

This project utilizes a machine learning model where consumer brand data is employed. Initially, a preliminary model is developed, followed by a refined model using a process called 'fine-tuning' to improve results. Additionally, a comprehensive testing suite has been created to validate accuracy and reliability of the model's predictions.

The MultiPDF Chat App is a Python application that allows you to chat with multiple PDF documents. You can ask questions about the PDFs using natural language, and the application will provide relevant responses based on the content of the documents. This app utilizes a language model to generate accurate answers to your queries.