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
In the field of Artificial Intelligence (AI), large language models (LLMs) are developing at a revolutionary speed, excelling in tasks such as writing, coding, and Q&A. However, to truly integrate these AI models into our daily lives and workflows, they need to interact effectively with the outside world. Function Calling and MCP (Model Context Protocol) … Read more
Introduction Competition Link: Code Qwen AI Challenge – Algorithm Track_Algorithm Competition_Questions and Data_Tianchi Competition – Data and Questions from Alibaba Cloud Tianchi Code is one of the high-quality languages created by humans, replacing the diverse natural language through high abstraction, ultimately converting to specific programs to complete tasks for humans. It possesses advantages such as … Read more
Introduction The development of large language models (LLMs) is advancing rapidly, with each significant update potentially bringing substantial performance improvements and expanding application scenarios. Against this backdrop, Alibaba’s latest release of the Qwen2.5 series models has garnered widespread attention. This technical report provides a detailed overview of the development process, innovations, and performance of Qwen2.5, … Read more
In December 2024, the paper “Qwen2.5 Technical Report” from Tongyi Qianwen was released. This report introduces Qwen2.5, a series of comprehensive large language models (LLMs) designed to meet diverse needs. Compared to previous iterations, Qwen 2.5 has made significant improvements in both pre-training and post-training phases. In terms of pre-training, the high-quality pre-training dataset has … Read more
1. What is Ollama Ollama is a concise and easy-to-use local framework for running large models, allowing users to quickly run large models on their local computers, with most of the code written in Golang. Project address: https://github.com/ollama/ollama Official project: https://ollama.com/ 2. Why Ollama Exists The existence of Ollama can be traced back to Llama … Read more
Click 01 Muggle Society Follow our public account, never get lost in AI learning Have you ever considered running open-source LLM locally? Do you have to manually download large model files? Are you struggling to build an API for your local model? Have you tried managing multiple models locally? I guess you have thought about … Read more
🚀 Ollama and LM Studio In the IT industry, choosing the right tool is like selecting a Swiss Army knife that fits your hand; it requires precision and efficiency. For IT professionals, the decision between Ollama and LM Studio is a question worth pondering. Today, we will conduct an in-depth comparison of these two local … Read more
In today’s rapidly advancing field of artificial intelligence, large language models (LLMs) have become crucial tools for transforming productivity. However, using online API services often comes with high costs and privacy concerns. If we could deploy and run open-source models locally, it would be an ideal solution. Today, we will introduce Ollama, a powerful open-source … Read more
1. Introduction to Ollama Ollama is an open-source tool designed for the convenient deployment and execution of large language models (LLMs) on local machines. It provides a simple and efficient interface that allows users to easily create, execute, and manage these complex models. Additionally, Ollama comes equipped with a rich library of pre-built models, enabling … Read more