Introduction: Deep learning has revolutionized many fields like computer vision, natural language processing, and speech recognition. However, these complex neural network models are often viewed as black boxes due to their lack of interpretability. ...
Transformers have become the dominant model architecture across natural language processing, computer vision, and other domains in recent years. In this blog post, I'll dive into some of the major innovations that have allowed Transformers like BERT,...
Have you ever wished you could turn back time and make a change to your code in the past? With Git, you can do something close! While you can't physically go back in time, you can manipulate the commit history so that a commit appears to have been ma...
In this blog post, we're going to walk through the process of fine-tuning one of OpenAI's OpenClip models for a specific task: image classification. OpenClip is a powerful toolkit developed by OpenAI that includes a set of models trained to understan...
Are you intrigued by the generative models, and curious about how they can create new, realistic data? You're in the right place! Today, we're going to explore an exciting class of generative models known as Diffusion Models. We'll unravel the mathem...
Generative Adversarial Network (GAN), a type of machine learning algorithm, was introduced in 1962 in chatbots. By 2014, generative AI applications were able to create authentic images, videos, audio of real people, and synthetic data. 1. What is Gen...
