Posts

In this blog post, we explore the topic of image generators and their detection techniques. I’ll discuss various methods for detecting image generators and their manipulations. These include analyzing the visual content of an image, examining its metadata, and using machine learning algorithms to identify patterns in the data.

Vision Transformers (ViTs) are redefining image recognition by using Transformer models to capture global context, unlike traditional Convolutional Neural Networks (CNNs) that focus on local features. ViTs excel with large datasets and show impressive scalability and performance.

As a developer, you might have come across the misconception that writing code without classes in a language that supports Object-Oriented Programming (OOP) automatically makes it functional. In reality, this code is more likely procedural.

ImageNet is more than just a dataset. The sheer scale of ImageNet, combined with its detailed labeling, made it essentially the backbone of Computer Vision.

This blog post explains how self-attention and softmax function in Transformer models, crucial for modern NLP. It breaks down how self-attention helps models understand relationships between tokens and how softmax ensures efficient computation and numerical stability.

Generative AI has come a long way, producing stunning images from simple text prompts. But how do Diffusion and Auto-Regressive models work, and why are diffusion models preferred.

The Black-Scholes-Merton equation is a model for pricing options. This equation revolutionized finance by providing a precise method for determining fair option prices, improving risk management and trading efficiency.

PageRank, created by Google founders Larry Page and Sergey Brin, changed the web by ranking pages based on the quality and quantity of their links, rather than just keywords. It evaluates a page’s authority through its endorsements, improving the relevance and trustworthiness of search results.

This article compares Keynesian, Austrian, and Monetarist economic theories, discussing their core principles, historical origins, and key figures. It highlights Austrian economics as the closest to libertarian values and examines the influence of these theories on modern global economic policies.

In the rapidly evolving field of data science, several specialized roles have emerged to tackle various aspects of data management, analysis, and implementation. Among these roles, data scientists, data analysts, and data engineers are some of the most prominent.