Key Points
- China's AI development competition has entered a critical phase
- The lack of quality training data is a major obstacle
- Hardware solutions cannot overcome this problem
China's next-generation artificial intelligence model development competition is entering a critical new phase, with a less visible but more existential threat emerging: a severe shortage of high-quality training data.
The US dominance in advanced computing chips has dominated the headlines, but Chinese AI experts are warning that the lack of quality data could be the next major hurdle for the country's technology ambitions.
This situation is seen as a problem that cannot be overcome with hardware solutions.
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Frequently Asked Questions
- What are China's AI development goals?
- China aims to develop next-generation artificial intelligence models.
- How does the lack of quality training data create a problem?
- The lack of quality training data makes it difficult to develop and train AI models.
- How can this problem be solved?
- This problem can be solved by collecting more quality training data and developing new training data sources.
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