Booth 21-25 | AI Data Management Zone | Tokyo Big Sight
There was a point, not long ago, when the dominant strategy for improving large language models was simple: feed them more. More tokens, more compute, more parameters. The scaling laws
Researchers built a study to answer a question that sounds simple: can people tell whether a scientific abstract was written by an LLM or a human? The answer, for people with machine-learning expertise, was mostly: no. This result is interesting on its own. The implications for how we build annotation
