Topic: mixtral-8x7b-instruct Goto Github
Some thing interesting about mixtral-8x7b-instruct
Some thing interesting about mixtral-8x7b-instruct
mixtral-8x7b-instruct,Create your own CUSTOMIZED Dolphin Mixtral 8x7b & Dolphin Llama 3 model using Ollama
User: aidevbytes
Home Page: https://youtu.be/oMqiDTvYKFM
mixtral-8x7b-instruct,working on llm research
User: ctarnold
mixtral-8x7b-instruct,Build a chatbot with the Mixtral 8x7B Instruct model using the Panel chat interface.
User: darylalim
mixtral-8x7b-instruct,A tutorial on how to build Summary Brief from Evaluation Report - Offline+Open Source
User: edouard-legoupil
Home Page: https://edouard-legoupil.github.io/rag_extraction/
mixtral-8x7b-instruct,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.
User: gokul-gmenon
mixtral-8x7b-instruct,A Python module for running the Mixtral-8x7B language model with customisable precision and attention mechanisms.
User: ibnaleem
Home Page: https://pypi.org/project/mixtral.py/
mixtral-8x7b-instruct,AI Voice-Powered TODO app
User: ivan-tolkunov
Home Page: https://ivan-tolkunov--surukoto-run.modal.run
mixtral-8x7b-instruct,Crew of AI Agents that investigate a company to help you prepare for your next interview
User: josemyduarte
mixtral-8x7b-instruct,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.
User: lizhecheng02
Home Page: https://www.kaggle.com/competitions/llm-prompt-recovery
mixtral-8x7b-instruct,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.
User: lizhecheng02
Home Page: https://www.kaggle.com/competitions/pii-detection-removal-from-educational-data
mixtral-8x7b-instruct,An AI based chatbot built for SaaS Entrepreneurs
User: quamernasim
mixtral-8x7b-instruct,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
User: rasvob
mixtral-8x7b-instruct,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.
User: rmncldyo
mixtral-8x7b-instruct,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.
User: sagnik-datta-02
Home Page: https://harmony-hormones.vercel.app
mixtral-8x7b-instruct,Terminal chat using MLX
User: tjscha
mixtral-8x7b-instruct,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.
User: tushar2704
Home Page: https://tushar-aggarwal.com
mixtral-8x7b-instruct,🐳 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.
User: wangrongsheng
Home Page: https://arxiv.org/abs/2312.14557
mixtral-8x7b-instruct,This repository contains Node.js examples to get started with the Amazon Bedrock service.
Organization: yav-ai
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
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