When discussing the differences between AI (Artificial Intelligence) and intelligence, it can be understood from several perspectives:Artificial Intelligence (AI) refers to the ability of computer systems to perform tasks that typically require human intelligence. This includes perception, reasoning, learning, problem-solving, etc. AI can learn and optimize through algorithms and big data, enabling it to perform … Read more
OpenAI’s Operator has recently made a stunning debut. What does this so-called “fully automated” browser AI agent aim to do? It tackles those tedious, repetitive real-world tasks, such as web searches, data organization, and even interactions on online platforms. Doesn’t it sound like we can finally free our hands? But the ideal is beautiful, while … Read more
Every time I start a new machine learning project, the first thing that gives me a headache is not model selection, but the dataset. Downloading datasets, unzipping, cleaning, formatting—a series of steps makes me feel like I’m facing a “programmer’s physical labor” challenge. And once the dataset is too large to load into memory all … Read more
↑ ClickBlue Text Follow the Jishi Platform Author丨Jack Stark@Zhihu (Authorized) Source丨https://zhuanlan.zhihu.com/p/104019160 Editor丨Jishi Platform Jishi Guide This article is a collection of common PyTorch code snippets, covering five aspects: basic configuration, tensor processing, model definition and operation, data processing, and model training and testing. It also provides several noteworthy tips, making the content very comprehensive. >> … Read more
Produced by Big Data Digest Author: Caleb Shanghai has not yet been unsealed. On April 9, at a press conference on epidemic prevention and control work in Shanghai, Vice Mayor Zong Ming stated that since March 1, Shanghai has conducted multiple rounds of nucleic acid screening or antigen testing. Since Shanghai announced comprehensive nucleic acid … Read more
Recently, while writing articles, I wanted to fill in some gaps left by last year’s RAG (Retrieval-Augmented Generation) and hope to share some tips to help everyone with RAG. As the old saying goes: Building a prototype of a large model is easy, but turning it into a product that can actually be put into … Read more
Today, I’m excited to introduce you to a super cool Python library—agi-pack. This library is powerful and can help us easily tackle many complex tasks, like a “superhero” in the Python world, making programming simple and fun. Next, let’s dive into the world of agi-pack and embark on a wonderful programming journey! 1. Getting to … 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
I previously wrote two articles on address processing, detailed below: Address Processing in Risk Control: Simple and Effective Regex Replacement Address Processing in Risk Control: Simple, Accurate, and Effective Multi-label Clustering Today we are writing the third article, using KNN to construct similar addresses. Although this article is about addresses, many scenarios can draw on … Read more
What is the K-Nearest Neighbors Algorithm (KNN)? The K-Nearest Neighbors algorithm (KNN) is a simple and intuitive machine learning algorithm widely used for classification and regression tasks. Its core idea is based on the principle of “birds of a feather flock together,” finding the K most similar neighbors by comparing the distance between a new … Read more