The official codes for "Aurora: Activating chinese chat capability for Mixtral-8x7B sparse Mixture-of-Experts through Instruction-Tuning"

This repository contains Node.js examples to get started with the Amazon Bedrock service.

A tutorial on how to build Summary Brief from Evaluation Report - Offline+Open Source

The workshop covers two topics: How to use GenAI tools for image data using Huggingface models (Stable Diffusion) in Python and How to build simple interface for self-hosted LLM-based chatbot in Jupyter notebook

Implement named entity recognition (NER) using regex and fine-tuned LLM, with a total of 15 categories. The ultimate goal is to apply the model to detect personally identifiable information (PII) in student writing.

AI Voice-Powered TODO app

Pickup Line Generator is a fun and creative web application that helps you craft the perfect pickup line for your crush. Simply input a description of your crush and choose a style, and our AI-powered generator will create unique and creative pickup lines tailored to your preferences.

Welcome to the Mixtral 8x7B offloading demo repository! This project aims to demonstrate the seamless execution of Mixtral-8x7B models on Colab or consumer desktops.

Create your own CUSTOMIZED Dolphin Mixtral 8x7b & Dolphin Llama 3 model using Ollama

A Python module for running the Mixtral-8x7B language model with customisable precision and attention mechanisms.

AIDx Model Development: Developing AI-driven models for healthcare applications.

XMPP Bot designed for E2EE AI language model interactions

VLib is a digital library platform targeting college library systems that utilises a vector database for discovering required resources and thereby making information accessible to all users irrespective of their knowledge level. It overcomes the incapability of present systems to handle descriptive queries thereby limiting information access.

This project aims to build a RAG model to chat with your PDFs

LLMs are commonly used to rewrite or make stylistic changes to text. The goal is to recover the LLM prompt that was used to transform a given text.

F\EXIBILITY CHAT is available now use it anywhere anyhow

working on llm research

Crew of AI Agents that investigate a company to help you prepare for your next interview

Terminal chat using MLX