Differences Between AI and Intelligence

Differences Between AI and Intelligence

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

New Deepfake Algorithm Makes Video Editing Easier

New Deepfake Algorithm Makes Video Editing Easier

(For algorithm enthusiasts, master your programming skills) Source: cnbeta www.cnbeta.com/articles/tech/858123.htm According to foreign media reports, a new technology now allows you to add, delete, or edit the words spoken by a speaker in a video, and all of this is as easy as editing text in a word processor. A new deepfake algorithm has been … Read more

Anti-Plagiarism Image Recognition System Exposes Paper Falsifiers

Anti-Plagiarism Image Recognition System Exposes Paper Falsifiers

Welcome to click “Science Net” ↑ to follow us! There has long been automated technology for detecting text plagiarism, which is widely used, but identifying repeated use of images is much more challenging, especially since users often edit images using Photoshop, making it difficult to prevent. However, with the latest image recognition systems, scientists have … Read more

Understanding Transformers Through Llama Model Architecture

Understanding Transformers Through Llama Model Architecture

Understanding Transformers Through Llama Model Architecture Llama Nuts and Bolts is an open-source project on GitHub that rewrites the inference process of the Llama 3.1 8B-Instruct model (80 billion parameters) from scratch using the Go language. The author is Adil Alper DALKIRAN from Turkey. If you are interested in how LLMs (Large Language Models) and … Read more

Optimize Data Structures for Performance Improvement

Optimize Data Structures for Performance Improvement

Slow code execution is often due to poor data structure choices. A few days ago, I wrote a feature to handle user relationships, and it became painfully slow with large data volumes. While I was struggling with it, I tried the Cursor code analysis feature, and unexpectedly, it quickly identified the problem and taught me … Read more

Understanding the Model Context Protocol (MCP)

Understanding the Model Context Protocol (MCP)

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

Ollama: Run Local Large Language Models Effortlessly

Ollama: Run Local Large Language Models Effortlessly

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

Ollama: Local Large Model Running Guide

Ollama: Local Large Model Running Guide

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