{"id":4762,"date":"2023-09-06T15:03:11","date_gmt":"2023-09-06T15:03:11","guid":{"rendered":"http:\/\/www.nanomate.es\/news\/data-evolution-explorando-las-ia\/"},"modified":"2023-10-02T09:29:42","modified_gmt":"2023-10-02T09:29:42","slug":"data-evolution-exploring-ais","status":"publish","type":"post","link":"https:\/\/www.nanomate.es\/en\/news\/data-evolution-exploring-ais\/","title":{"rendered":"Data Evolution:<\/span> Exploring AIs"},"content":{"rendered":"
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At Nanomate we remain at the forefront of innovation and up to date with the latest technologies, integrating the use of AIs such as ChatGPT into our work processes. The use of these artificial intelligences is proving to be a particularly interesting driver in areas such as data analysis and scientific research.<\/strong><\/p>\n

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In line with our culture of continuous training, a few days ago we enjoyed a talk on Artificial Intelligence in which we were able to learn what this technology can bring us, how to work with it and how to make the most of it in each department that makes up Nanomate.<\/p>\n

\"Formaci\u00f3nDuring the training, we were able to get to know many of the most commonly used AIs today and understand their purposes. For example, using Midjourney<\/a> or Dall-E<\/a>, we can generate various types of images; with Runway<\/a>, we create animations and videos; some lesser-known ones like Play.ht<\/a> and Magenta<\/a> allow us to generate sounds, and finally, Bard<\/a> and ChatGPT<\/a> are known as conversational AIs.<\/p>\n

This is the first session of many that we will dedicate to Artificial Intelligence, and that's why we wanted to focus on the one we use the most: ChatGPT. In the upcoming months, we will continue with more advanced trainings as we make more use of this tool.<\/p>\n

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\n How does ChatGPT work? <\/h2>\n \n
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To properly define how an AI like ChatGPT works, what better than to ask the tool itself.<\/p>\n

GPT (Generative Pre-trained Transformer) is an artificial intelligence language model developed by OpenAI. It works by machine learning from a large amount of text available on the Internet. In its training, GPT analyses sequences of words and predicts what the next word is in a given text, allowing it to understand and generate coherent text. As it processes more text, the model improves its understanding and ability to generate contextual responses.<\/p>\n

When you interact with a GPT-based chatbot, you can type questions or request information. The model uses its understanding of natural language to analyse your input and generate responses based on its training. This makes it useful in a variety of applications, such as answering questions, generating text, translating languages and much more. However, it is important to remember that GPT has no real understanding, but relies on statistical language patterns, so responses may not always be accurate or contextual.<\/p>\n

The two paragraphs above were generated by ChatGPT when we asked it to briefly explain how it works.<\/em><\/p>\n

In simpler terms, with ChatGPT, we can generate any type of text or information we request, taking into account the topic, length, and style. For example: \"Write the story of Don Quixote in 500 words.\"<\/p>\n

\"Esquema<\/p>\n

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\n What can we use ChatGPT for? <\/h2>\n \n
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Currently, ChatGPT has more than 100 million active users, and the number continues to grow. We haven't been left behind and have been using it as a tool for several months for various purposes, although in general, we can differentiate the following applications:<\/p>\n