*Exploring how nearest neighbor algorithms work through visual analysis and the transition to k-nearest neighbors for improved classification* — ## What Does Nearest Neighbor Classification Look Like? The slide titled ‘What does this look like?’ displays results of nearest neighbor classification on the CIFAR-10 dataset through a grid of related images. Here what we’re showing is the results of nearest neighbor classification on the CIFAR 10 data set. Grid of image rows showing test images…
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*Exploring the revolutionary architectures that power today’s generative AI systems* — ## The Evolution That Changed Everything Language modeling has evolved over the years. The recent breakthroughs in the past 10 years include the usage of neural networks to represent text, such as Word2Vec and N-grams in 2008. Timeline evolution In 2014, the development of sequence-to-sequence models, such as RNNs and LSTMs, helped improve the performance of ML models on NLP tasks, such as translation…
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Highlights: Starting with this post, we delve into the intriguing concept of ‘attention’ in visual perception. It’s natural to focus on certain elements when we see an image. We instinctively find the most significant components of that image and examine it more than other elements. This concept is exemplified by a process which is known as ‘saliency’ in the field of computer vision and is visualized as a heat map. This ‘heat map’ reveals where…
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Highlights: In today’s digital world, three groundbreaking AI models are grabbing everyone’s attention – ChatGPT, DALL-E-2, and Codex. People are curious and eager to understand how these amazing tools work. These models belong to a fascinating area called Artificial Intelligence Generated Content (AIGC), wherein computers create pictures, music, and text. Come, let’s explore this exciting realm together and learn about the magic behind ChatGPT and its AI pals in our upcoming posts In this first…
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