“NFT,” or “non-fungible token,” is likely a term that many people have heard recently, especially with the recent rise of technological trends and markets. Numerous NFT marketplaces have become popular, with names such as Magic Eden, Rarible, and Nifty Gateway popping up during Google searches for “NFT market.” The most popular and diverse of these marketplaces remains OpenSea, a subject of much interest and criticism. NFTs themselves have fostered new art communities across the globe yet ave also been notorious for causing harm to the environment. So, is buying one worth it?
Learn moreFrom passing the University of Pennsylvania’s Wharton School MBA exam to writing recipes for Fettuccine Alfredo, OpenAI’s revolutionary chatbox model ChatGPT-3 prompts a promising future. At its core, Chat-GPT is a language model, an AI model that utilizes the mathematical function of probability distribution and reinforced learning to predict the use of a series of words in a sentence. Because of its developed processing and annotation techniques, ChatGPT answers baffling questions at rapid speeds while also maintaining accuracy and thoroughness. The chatbox’s cognition shocked the world, fascinating the globe with the awe-inspiring capabilities of artificial intelligence. ChatGPT’s explosive impact prompts the question: Where does the future of AI lie?
Learn moreOpen up a new Google window and type in your favorite food. Did you notice? Before you even finished typing, Google probably already finished the phrase for you, or suggested some restaurants or recipes for you to try next. How? The answer: through natural language processing (NLP). A bridge between the fields of linguistics and artificial intelligence, NLP essentially teaches computers to understand and produce human language.
Learn moreFrom phones, hospitals, planes, and roads, people have become irrevocably reliant on artificial intelligence. Transforming countless industries, AI models adjust and identify trends in data to perform given tasks. This process utilizes data annotation. In order for an AI model to differentiate between thousands of distinct objects, it needs to be provided with immense volumes of training data. With more labeled information, a machine can identify patterns more accurately, and the absence of organized information inhibits rapid technological growth.
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