Recently, I saw that Google has also released an AI IDE that competes with Cursor, named IDX, so I decided to give it a try. Experience link: https://idx.dev The domain name is quite nice, but the name is a bit abstract 😅. According to the instructions on the website, Project IDX is an AI-assisted Web … Read more
Before reading the content below, you need to understand ollama and Function Calling. The MCP is an open protocol that standardizes how applications provide context to large language models (LLMs). It also provides a standardized way to connect AI models to various data sources and tools. This protocol was defined by Anthropic, and one of … 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
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
The author of this article is a front-end developer at 360 Qiwutuan. Introduction to Ollama Ollama is an open-source framework developed in Go that can run large models locally. Official website: https://ollama.com/ GitHub repository: https://github.com/ollama/ollama Installing Ollama Download and Install Ollama Choose the appropriate installation package based on your operating system type from the Ollama … Read more
This article is reprinted from the public account Xinkou Dushuo KNN is a fundamental data classification algorithm in machine learning. Here, I will explain its utility through a story. Let’s start with a joke. During a matchmaking event, a beautiful girl asked the young man: Do you have a three-bedroom apartment? The young man: No. … Read more
I originally planned to work overtime for two days over the weekend, but suddenly other matters came up and were canceled. By the way, I looked at CSDN and saw an article introducing KNN. Since I am also working in the field of machine learning, I naturally need to understand some of this part. What … Read more
CodingGo Technical Community A Free Programming Learning Platform Algorithm Introduction KNN (K-Nearest Neighbors) is a simple machine learning algorithm that does not require learning any parameters and can be used for both classification and regression problems. The intuitive explanation of this algorithm is ‘Birds of a feather flock together.’ When a new sample is input, … Read more
Table of Contents 1. Principles of KNN Algorithm 2. Three Elements of KNN Algorithm 3. Brute Force Implementation of KNN Algorithm 4. KD-Tree Implementation of KNN Algorithm 5. Imbalance in Training Samples for KNN Algorithm 6. Advantages and Disadvantages of the Algorithm 1. Principles of KNN Algorithm The KNN algorithm selects the k nearest training … Read more
Python Tribe (python.freelycode.com) organized the translation, welcome to forward, prohibited from reprinting The k-Nearest Neighbors algorithm (KNN) is based on a simple logic that is easy to understand and implement, making it a powerful tool you can use. By learning this tutorial, you will be able to implement a KNN algorithm from scratch in Python. … Read more