![]() ![]() And after a bit of training, it would learn any of those things. The idea of this AI, is to build an AI framework that would learn in a more abstract way, meaning that it can learn from scratch, learning from reading books or scanning images, or listening to sounds and noises. "While people appear to learn in a similar way regardless of how they get information - whether they use sight or sound, for example - there are currently big differences in the way self-supervised learning algorithms learn from images, speech, text, and other modalities," the blog post states. The thing is, AI models created from the method tend to be single-modal. The better solution is for more modern AIs to utilize self-supervised learning, in which it can learn from large quantities of unlabeled data, like from books or videos, and build their own structured understanding.Īccording to the researchers, AIs should learn things this way, in a way just like humans. Because AI's capabilities tend to increase in line with the amount of data it has been trained on, the method is not feasible.Īccording to the researchers at Meta, in order to create next-generation AIs, feeding AI models millions of labelled data is no longer the best way. ![]() What's more, creating huge amounts of labeled data is a painstaking job. The AI is then trained using supervised learning, which is quite restrictive. Traditionally, the way to train an AI model to correctly interpret something is to feed it lots of labeled data. The researchers at Meta trained the AI model differently. Read: Paving The Roads To Artificial Intelligence: It's Either Us, Or Them This time, Meta, the parent company of Facebook, is stepping closer to that direction, by creating an AI capable of doing all those three tasks at once. It's only through this advancement that there can be a distinction between simulating a mind and actually having a mind.įor instance, an AI can be made real good in learning from spoken words, or written test, or visualizing visual materials. To get to the next level of AI, which is an AGI, or a strong AI, an AI needs to be able to do more than just one task, and do those tasks in ways that a human being can. This AI can only do one task, meaning that it is only limited to one domain. The most basic form, is an ANI, or a weak AI. As software becomes more capable and hardware becoming more powerful, researchers can advance the AI realm dramatically.ĪI, the artificial intelligence behind many computation algorithms, are essentially computers capable of learning beyond their original programming. ![]()
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