. But she says scrutiny should come from multiple disciplines.
Liang says the large machine learning models dubbed “foundational” appear unique and important because of their ability to handle the complexity of the real world, as demonstrated by the capabilities of large language models. He says the feedback is part of a healthy academic debate. “All of these critiques are welcome,” he says.
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