Author: Jay Chou from Manchester Reviewer: Los Project Address: mistralai/mistral-src: Reference implementation of Mistral AI 7B v0.1 model This article aims to deeply analyze the key improvements of Mistral 7B and Mistral 8X7B. Mistral AI is an AI company co-founded in Paris by three former employees of DeepMind and Meta. In September 2023, Mistral AI … Read more
Author: Kevin Wu Jiawen, Master of Information Technology, Singapore Management UniversityHomepage: kevinng77.github.io/Disclaimer: This article is for sharing only, copyright belongs to the original author, infringement will be deleted upon private message!Original article: https://zhuanlan.zhihu.com/p/711294388 This article outlines the key information of the Mistral series models (Mistral 7B, Mixtral 8x7B, Mixtral 8x22B, Mistral Nemo, Mistral Large 2), … Read more
1. Mistral and Microsoft’s Collaboration Recently, Microsoft announced a collaboration with Mistral AI, which has attracted considerable attention from industry insiders. The partnership focuses on three core areas: Supercomputing Infrastructure: Microsoft will support Mistral AI through Azure AI supercomputing infrastructure, providing top-tier performance and scale for the training and inference workloads of Mistral AI’s flagship … Read more
Crecy from Aofeisi Quantum Bit | WeChat Official Account QbitAI No fine-tuning is required; just four lines of code can triple the context length of large models! Moreover, it is “plug-and-play” and theoretically adaptable to any large model, successfully tested on Mistral and Llama2. With this technology, large models (LargeLM) can transform into LongLM. Recently, … Read more
Getting Started with Mistral: An Introduction The open-source Mixtral 8x7B model launched by Mistral adopts a “Mixture of Experts” (MoE) architecture. Unlike traditional Transformers, the MoE model incorporates multiple expert feedforward networks (this model has 8), and during inference, a gating network is responsible for selecting two experts to work. This setup allows MoE to … Read more
Machine Heart Column Machine Heart Editorial Team Fusion of multiple heterogeneous large language models, Sun Yat-sen University and Tencent AI Lab introduce FuseLLM With the success of large language models like LLaMA and Mistral, many major companies and startups have created their own large language models. However, the cost of training new large language models … Read more
If you’re starting to explore how to test open source large language models (LLM) with Generative AI for the first time, the overwhelming amount of information can be daunting. There is a lot of fragmented information from various sources on the internet, making it difficult to quickly start a project. The goal of this article … Read more
In 2023, the explosive development of LLMs has taken place. Closed-source large language models, represented by ChatGPT, have demonstrated astonishing capabilities. However, it is well known that when using closed-source large language models like ChatGPT, the data we communicate with AI is collected to train and improve the model. Therefore, when it comes to practical … Read more
Author｜Zhou YixiaoEmail｜[email protected] After more than seventy days, Mianbi has released four distinct models following the launch of MiniCPM-2B, and it has also officially announced new financing worth hundreds of millions. This financing was led by Chuanghua Venture Capital and Huawei Hubble, with the Beijing Artificial Intelligence Industry Investment Fund and others participating. Zhihu continues to … Read more
Source: Deephub Imba This article is about 5000 words long, and it is recommended to read for 10 minutes. This article will compare Mistral 7B vs Llama 2 7B and Mixtral 8x7B vs Llama 2 70B. To improve performance, large language models (LLMs) typically achieve this goal by increasing the model size. This article will … Read more