If you are trying to understand how object detection models evolved, it is important to start with the fundamentals. And one of the earliest deep learning models that brought serious performance to object detection was R-CNN. R-CNN stands for Regions with Convolutional Neural

How exactly is RL used in reasoning models? First, we must understand that language models are initially trained in a standard way, using supervised learning on massive datasets of text. This is called "pre-training". The model learns to predict the next word given previous

Most of us grew up thinking of AI as either computer vision or natural language processing. But what happens when you combine the two? You get Vision-Language Models (VLMs) - systems that can look at an image and understand it in natural language, or read a caption and

Almost every major industry today is using computer vision in some form or the other, quietly in the background, solving problems that we do not even realize are computer vision problems. Take healthcare for instance. Computer vision is helping radiologists to detect tumors

Reasoning LLMs from Scratch - Series Completed 24 lectures are now available on YouTube for free. This year has arguably been the year where we are seeing more and more of “reasoning models”, for which the main catalyst was Deep-Seek R1. For people to learn

You do not really understand computer vision until you build with it. That is the philosophy behind the 5-week Hands-on Computer Vision Bootcamp we are running at Vizuara. Dr. Sreedath is teaching this live, twice a week, in a format that focuses entirely on projects and

We at Vizuara are conducting a research study to test how well Conversational AI tutors augmented with LMS help students understand AI topics compared to just watching videos. 1️⃣ Eligibility - If you're in 2nd year or above (UG, PG, or PhD) - Curious about AI - Willing to

Each R-CNN variant solved one major bottleneck while keeping the core framework intact Dr. Sreedath has been studying the architectural differences between R-CNN, Fast R-CNN, and Faster R-CNN and it's a good example of how incremental improvements can lead to major performance

Indian Colleges and Universities are facing a big problem: Shortage of a qualified AI workforce. Majority of colleges in India have started degrees in AI/ML, but they do not have the expertise to teach the subject. Courses of computer science are being taught under the label