In essence, it is not difficult to

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Taking learning machines as an example, most learning machines on the market currently feature companion learning, family tutoring, teacher interaction, and other functions, and eye protection modes are also a must. Although learning machines from different brands may differ in some details, they generally lack innovation and differentiation. Perhaps the only thing that can reflect differentiation is educational content, that is, the accuracy of functions under large model applications and the quality of built-in learning resources, including the age group and subject range of the content, the richness of resources, whether it is exclusive, and whether the content can be continuously updated.



combine technology and products on the smart hardware iran phone number side, but the real difficulty is content. But as mentioned above, the education industry has a low tolerance for content, individual differences are also large, and the way of explaining the course question bank affects parents' choices.This is not a problem that can be solved in the short term. It requires the accumulation and polishing of long-term resources and repeated verification. More importantly, in the face of a highly involuted market, product function iteration, sales channel expansion, and marketing cash flow investment are all tests for manufacturers.



After all, as an electronic product, it is necessary to consider who to sell it to and how to get consumers to pay for it. Driven by major manufacturers, big models are becoming the "standard configuration" of educational hardware. Big models are tools. The long-term battlefield of future educational big models will ultimately still focus on the content product capabilities of various manufacturers. Only in this way can technology and commercialization go hand in hand. This means that the application of big models and the implementation of products in the education industry are both time-consuming and labor-intensive processes.