🐳 Aurora is a [Chinese Version] MoE model. Aurora is a further work based on Mixtral-8x7B, which activates the chat capability of the model's Chinese open domain.
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Updated
May 9, 2024 - Python
🐳 Aurora is a [Chinese Version] MoE model. Aurora is a further work based on Mixtral-8x7B, which activates the chat capability of the model's Chinese open domain.
A versatile CLI and Python wrapper for Perplexity's suite of large language models including their flagship Chat and Online 'Sonar Llama-3' models along with `LLama-3 and 'Mixtral'. Streamline the creation of chatbots, and search the web with AI (in real-time) with ease.
This repository contains Node.js examples to get started with the Amazon Bedrock service.
XMPP Bot designed for privacy AI language model interactions
AI Voice-Powered TODO app
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
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
A Python module for running the Mixtral-8x7B language model with customisable precision and attention mechanisms.
Build a chatbot with the Mixtral 8x7B Instruct model using the Panel chat interface.
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.
An AI based chatbot built for SaaS Entrepreneurs
A tutorial on how to build Summary Brief from Evaluation Report - Offline+Open Source
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.
Harmony Hormones is a comprehensive platform dedicated to women's health and well-being from the first period itself, offering a vibrant and supportive community where individuals can access valuable resources in MenstruPedia from ODPHP(USA), personalized care plans by Maitri AI, and solving queries with Mensa AI sourced from Pubmed and Wikipedia.
working on llm research
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