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 What is a "ViT" (Vision Transformer)?   A Vision Transformer (ViT) is a type of deep learning model that uses the Transformer design, originally made for natural language processing tasks for computer vision tasks. It was first mentioned in a 2020 study paper by Dosovitskiy et al. called "An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale."     CNNs have been the most common architecture for image classification and other computer vision jobs for a long time. ViT, on the other hand, takes a different method...
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Generative AI can produce excellent results, but it still needs human help at the beginning and end of the training process to get the best results. Human input is needed to provide the first data set, determine which features are essential for the model to learn, and review the results for quality and relevance. When human and machine intelligence works together, as in generative AI, it opens up a whole new world of content-making options.   In this guide, we'll show you the basics of generative AI, how it works,...
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Introduction to ChatGPT   OpenAI made ChatGPT, which is a compelling language model. It is based on the GPT (Generative Pre-trained Transformer) architecture, especially GPT-3.5. As an AI language model, ChatGPT is made to respond to text inputs in a way that sounds like a person. This makes it possible to have talks that are interesting and interactive.   GPT-3.5 is trained on a wide range of books, articles, websites, and other pieces of writing that are open to the public. It uses deep learning methods, especially transformer neural networks,...
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What is a GPT model?   ChatGPT stands for "Generative Pre-trained Transformer." This is a type of machine learning model that uses deep learning to create text in normal language. GPT models are based on a transformer architecture, a neural network that handles sequential data, like language.     The GPT models are pre-trained on big text sets, like Wikipedia, books, or news articles, and then fine-tuned on specific language tasks, like translating languages, answering questions, and classifying texts. This process of pre-training and fine-tuning allows the model to learn...
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During the recent pandemic, when people wanted to avoid face-to-face interactions and companies set up remote work policies and digital communication methods, the Metaverse idea became more popular. People wanted to know more about Metaverse and how it could help them because of this.     In the Metaverse, people can do many different things, such as socializing, playing games, learning, doing business, etc. People see the Metaverse as the next step in the evolution of the internet. It could change how we live, work, and communicate with each other....
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