For a long time, the emergence of educational
Posted: Mon Dec 23, 2024 6:29 am
on the basis of the original wrong question printer. Reflected in market data, with the addition of large model functions, personalized customization functions have spawned more demand and helped educational smart hardware move towards high-end. According to data from Luotu Technology, in the first quarter of 2018, the sales volume of China's learning tablet learning machine market through all online channels, including Pinduoduo, Douyin and Kuaishou platforms, was . 1 million units, a year-on-year increase of .2 million. At the same time, ultra-high-end learning machine products in the price range of RMB 100 and above are being rapidly accepted by the market.
hardware products has been to help students learn iran phone number with higher quality and meet market demand. Hardware products have long become an important revenue pillar for companies involved in the education track. However, in the past few years, the market has fallen into a downturn due to the consumption cycle of electronic products. Now the emergence of large models has put educational smart hardware products on the fast track. However, it is undeniable that there are many players and the market competition is fierce. If you want to do a good job in educational smart hardware and grab the cake, a mature education system, high-quality educational resources and advanced large model technology are indispensable.
The era of "intelligent emergence" has come. What is the prospect of parallel technology and commercialization? The emergence of large models has not only set off a "hundred-model war" inside and outside the industry, but also opened up a new era of "intelligent emergence". In the past, artificial intelligence was "whatever skills humans want machines to learn, we teach them." However, the emergence of intelligence enabled by htT has opened up a new "human-like" paradigm for interactive learning of natural language in machines, and has realized that "machines can also learn skills that humans have not taught.
hardware products has been to help students learn iran phone number with higher quality and meet market demand. Hardware products have long become an important revenue pillar for companies involved in the education track. However, in the past few years, the market has fallen into a downturn due to the consumption cycle of electronic products. Now the emergence of large models has put educational smart hardware products on the fast track. However, it is undeniable that there are many players and the market competition is fierce. If you want to do a good job in educational smart hardware and grab the cake, a mature education system, high-quality educational resources and advanced large model technology are indispensable.
The era of "intelligent emergence" has come. What is the prospect of parallel technology and commercialization? The emergence of large models has not only set off a "hundred-model war" inside and outside the industry, but also opened up a new era of "intelligent emergence". In the past, artificial intelligence was "whatever skills humans want machines to learn, we teach them." However, the emergence of intelligence enabled by htT has opened up a new "human-like" paradigm for interactive learning of natural language in machines, and has realized that "machines can also learn skills that humans have not taught.