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At its core, AI learning is fundamentally about data. Just like humans need experiences to learn, AI systems need exposure to vast amounts of relevant data to improve and refine their understanding of tasks. The type of data depends on the task: for image recognition, thousands of labeled photos are used; for language models, huge datasets of text are necessary https://axonlabs.pro/.For example, if we are training an AI to recognize images of cats and dogs, the model must be fed a large set of labeled images that distinguish between ... more