{"title":"在评估大型语言模型的能力方面迈出了小步","authors":"Michael C. Frank","doi":"10.1038/s44159-023-00211-x","DOIUrl":null,"url":null,"abstract":"Large language models show remarkable capacities, but it is unclear what abstractions support their behaviour. Methods from developmental psychology can help researchers to understand the representations used by these models, complementing standard computational approaches — and perhaps leading to insights about the nature of mind.","PeriodicalId":74249,"journal":{"name":"Nature reviews psychology","volume":"2 8","pages":"451-452"},"PeriodicalIF":16.8000,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Baby steps in evaluating the capacities of large language models\",\"authors\":\"Michael C. Frank\",\"doi\":\"10.1038/s44159-023-00211-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Large language models show remarkable capacities, but it is unclear what abstractions support their behaviour. Methods from developmental psychology can help researchers to understand the representations used by these models, complementing standard computational approaches — and perhaps leading to insights about the nature of mind.\",\"PeriodicalId\":74249,\"journal\":{\"name\":\"Nature reviews psychology\",\"volume\":\"2 8\",\"pages\":\"451-452\"},\"PeriodicalIF\":16.8000,\"publicationDate\":\"2023-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature reviews psychology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.nature.com/articles/s44159-023-00211-x\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature reviews psychology","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s44159-023-00211-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, MULTIDISCIPLINARY","Score":null,"Total":0}
Baby steps in evaluating the capacities of large language models
Large language models show remarkable capacities, but it is unclear what abstractions support their behaviour. Methods from developmental psychology can help researchers to understand the representations used by these models, complementing standard computational approaches — and perhaps leading to insights about the nature of mind.
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