It scored better than the average college applicant, but probably isn’t well-rounded enough to get in.
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Large language models like GPT-3 are giving chatbots an uncanny ability to give human-like responses to our probing questions. But how smart are they, really? A new study from psychologists at the University of California-Los Angeles out this week in the journalfound that the language model GPT-3 has better reasoning skills than an average college student—an arguably low bar.
The study found that GPT-3 performed better than a group of 40 UCLA undergraduates when it came to answering a series of questions that you would see on standardized exams like the SAT, which requires using solutions from familiar problems to solve a new problem. “The questions ask users to select pairs of words that share the same type of relationships. ” according to a. Another set of analogies were prompts derived from a passage in a short story, and the questions were related to information within that story. The press release points out: “That process, known as analogical reasoning, has long been thought to be a uniquely human ability.”
In fact, GPT-3 scores were better than the average SAT score for college applicants. GPT-3 also did just as well as the human subjects when it came to logical reasoning, tested through a set of problems calledIt’s no surprise that GPT-3 excels at the SATs.
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