ByteDance Aims to Train Ultra-Large Parameter Models, Zhang Yiming: Don't Be Influenced by Hot Trends Like Coding
ByteDance
ByteDance is planning to train extremely large parameter models, with founder Zhang Yiming cautioning against being swayed by current trends such as coding. The company is focusing on fundamental AI research to achieve breakthroughs in model capabilities.
ByteDance is reportedly planning to train models with ultra-large parameter counts, according to an exclusive report by LatePost. Founder Zhang Yiming has advised the team not to be distracted by popular trends like coding, emphasizing the importance of staying focused on core AI research. The report suggests that ByteDance is investing heavily in computational resources and talent to push the boundaries of model scale, aiming to achieve significant improvements in AI performance. Zhang Yiming's remarks indicate a strategic direction towards more ambitious and foundational AI development, rather than immediately chasing application-specific trends.
Source: ByteDance Doubao (GNews) —
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