
There remains considerable potential to enhance artificial intelligence models by scaling up computing power and data, according to Yao Shunyu, a senior research scientist at Google DeepMind and former researcher at US AI start-up Anthropic.
Amid heated discussions in the AI community about the future of scaling – the process of increasing computational resources and training data to develop better AI models – Yao said the method was still expected to yield results for at least a year “until we…
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AI scaling hasn’t reached a dead end yet, Chinese Google scientist says
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