Is there a difference between LLM large models and embedding large models in the knowledge base domain? Why is it necessary to set up a separate embedding large model in the RAG field? In the field of artificial intelligence, large language models (LLMs) and embedding models are two key technologies in natural language processing (NLP), … Read more
Overview The Condense Question mode is a simple chat mode built on top of a data query engine. It provides a flexible chat engine by compressing the conversation context and latest message into standalone questions, which are then interacted with the query engine. For each chat interaction: 1. First, generate a standalone question based on … 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
Qwen2.5 is a large-scale language and multimodal model developed by the Tongyi Qianwen team. With its advantages in long text processing, knowledge integration, large-scale dataset pre-training, and multilingual processing, it provides users with quick and accurate responses, becoming an effective tool for enterprise intelligence transformation. Deploying the Qwen2.5 model on Function Compute FC allows users … Read more
ClickFollowWeChat Official Account, “Technical Insights” for Timely Updates! Introduction If you want to deploy and run an open-source large model on localhost, you can try Ollama. In this article, we will deploy Ollama and call the large model via API. Installation Ollama provides two development packages for Python and JavaScript, which are quite friendly for … Read more
Project Introduction Ollama is a project focused on the local deployment and running of large language models, such as Llama 2 and Mistral. This project is licensed under the MIT License and is primarily written in Go, while also integrating languages such as C, Shell, TypeScript, C++, and PowerShell. With over 33.5k stars and 2.2k … Read more
In this article, we will learn how to leverage Llama-3 to implement an advanced RAG with a fully local infrastructure.This article provides a firsthand guide for the first day of implementing advanced RAG. ◆Introduction: In this article, we will create an advanced RAG that will answer user queries based on research papers provided as input … Read more
Recently, the official Ollama released its Python tool library. This article introduces a guide to integrating Ollama into Python, showcasing how developers can easily utilize AI capabilities. The previous article discussed how to deploy Ollama’s large model. This time, we will expand on that foundation to create a web Q&A bot. Integrating the large model … Read more
Ollama directly supports many models by default, and you can simply use the ollama run command as shown below: ollama run gemma:2b This allows you to install, start, and use the corresponding model. You can find the models that are directly supported in this way at https://ollama.com/library. There are tens of thousands of models available … Read more
Foreword If your hard drive is running low on space, check this out first for a thrill. Running models has become as easy as changing packages. This article introduces the Ollama framework developed in Go language, which allows users to run large models locally. Through Ollama, users can download and run different models, and generate … Read more