<h5>How is AI trained using data?</h5><p>When an artificial intelligence (AI) model is created, it has no knowledge. The AI companies, like OpenAI, teach it various things so that it functions properly.</p><p>Similar to how babies are taught using various examples like stories, photos, etc., AI models also learn by example. Imagine showing the AI images of cats and dogs, highlighting their differences. It will recognise patterns and learn to differentiate between them.</p><p>It’s not only about photos; AI models are trained using data from other internet sources, like Wikipedia entries, scientific papers, etc. You can learn more about it <a target="_blank" rel="noopener noreferrer" href="https://www.newsahoot.com/articles/how-does-artificial-intelligence-work">here</a>.</p><p>However, recent news reports show that AI companies are running out of data to train their AI models.</p><h5>Oh no! What’s the issue?</h5><p>AI companies need high-quality data to train their AI models. Imagine such data as a good textbook containing correct explanations that help us learn. Similarly, high-quality data is needed to train AI models.</p><p>Recently, AI companies are saying that high-quality data may run out in the next two years. Imagine a situation where you have finished all your school textbooks and have nothing else to learn from.</p><p>What will you do then? Will you stop your education there or look for other sources? Similarly, AI companies are also trying to find alternate sources to train their AI models.</p><h5>What are the companies doing?</h5><figure class="image"><img src="https://firebasestorage.googleapis.com/v0/b/newsahoot.appspot.com/o/no-data-to-train-ai%2FChatGPT.jpg?alt=media&amp;token=2d5107d2-3091-4053-b4d3-d6223a2fbb82"><figcaption>A person using ChatGPT. Photo by Solen Feyissa on Pexels.</figcaption></figure><p>OpenAI is translating or transcribing YouTube videos and podcasts to train their latest AI model. Google has also used YouTube videos and plans to use consumer data available in Google Docs, Sheets, etc.</p><p>Meta has discussed buying a famous publishing house to use all their books to train their AI model. Some are even thinking of using synthetic data.</p><p>Innovative solutions, but they also come with certain challenges.</p><h5>What challenges?</h5><p>AI companies are facing criticism for using public data to train their models. For example, OpenAI has been criticised for using videos made by humans to train <a target="_blank" rel="noopener noreferrer" href="https://www.newsahoot.com/articles/open-ai-s-launches-new-ai-model">Sora</a>, its video-generating AI.</p><p>People want AI companies to get permission or pay them before using their data.</p><p>Also, using synthetic data to train AI models can cause it to repeat its previous mistakes. This can cause the models to malfunction as those mistakes might not get corrected.</p>

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