"They’ve also found that the models tend to become more accurate the more data they consume. That may be the next big goal for Google: building AI models that are based on billions of data points, not just millions. "
I'm not versed in machine learning, but it looks to me that any model whose output quality is dependent on the quantity of data it ingests is deeply flawed. There's no doubt a bigger number of samples will make the predictions more accurate, but isn't the challenge to develop a system that is as accurate as possible regardless of the number of data points its fed, like the human brain?
I'm not versed in machine learning, but it looks to me that any model whose output quality is dependent on the quantity of data it ingests is deeply flawed. There's no doubt a bigger number of samples will make the predictions more accurate, but isn't the challenge to develop a system that is as accurate as possible regardless of the number of data points its fed, like the human brain?