Understanding Vector Distance in Vector Databases

Understanding Vector Distance in Vector Databases

Vector distance is crucial in various fields such as mathematics, physics, engineering, and computer science. They are used to measure physical quantities, analyze data, identify similarities, and determine the relationships between vectors. This article provides an overview of vector distance and its applications in data science. What Is Vector Distance? Vector distance, also known as … Read more

Using Transformers as Universal Computers with In-Context Learning Algorithms

Using Transformers as Universal Computers with In-Context Learning Algorithms

Source: Machine Heart This article is about 4500 words long and is recommended to be read in 5 minutes. What can a 13-layer Transformer do? It can simulate a basic calculator, a basic linear algebra library, and execute an in-context learning algorithm using backpropagation. Transformers have become a popular choice for various machine learning tasks, … Read more

What Exactly Is an Intelligent Agent? A Detailed Explanation

What Exactly Is an Intelligent Agent? A Detailed Explanation

Depending on the goals we wish to achieve and the criteria by which we measure success, there are various methods to create artificial intelligence. The scope is extremely broad, ranging from highly complex systems like autonomous driving and robotics to common components of our daily lives, such as facial recognition, machine translation, and email classification, … Read more

A Journey Through Science Popularization: Talking About Intelligent Agents

Author: Chen Zhiyan This article is about 3000 words long and is recommended to be read in 7 minutes. The future of intelligent agents is full of infinite possibilities. Introduction In this age of information explosion, have you ever imagined having smooth conversations with machines, or letting AI help you create stunning articles? All of … Read more

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