12 Matching Annotations
  1. Last 7 days
    1. Academic publishers, documentary archives, game studios, and companies sitting on years of enterprise data have all been courted for the seeds of intelligence needed to train the next generation of models.

      AI训练数据市场的扩张正在重塑多个传统行业的价值定位,从学术出版到游戏工作室,各种看似不相关的数据源都可能成为AI训练的'智能种子'。这种跨行业数据融合正在创造新的商业机会和市场动态。

  2. Aug 2023
  3. Jul 2023
  4. Nov 2021
  5. Apr 2021
  6. Oct 2020
  7. May 2020
  8. Aug 2016
    1. Page 122

      Borgman on terms used by the humanities and social sciences to describe data and other types of analysis

      humanist and social scientists frequently distinguish between primary and secondary information based on the degree of analysis. Yet this ordering sometimes conflates data, sources, and resources, as exemplified by a report that distinguishes "primary resources, E. G., Books close quotation from quotation secondary resources, eat. Gee., Catalogs close quotation . Resources also categorized as primary or sensor data, numerical data, and field notebooks, all of which would be considered data in the sciences. Rarely would books, conference proceedings, and feces that the report categorizes as primary resources be considered data, except when used for text-or data-mining purposes. Catalogs, subject indices, citation indexes, search engines, and web portals were classified as secondary resources. These are typically viewed as tertiary resources in the library community because they describe primary and secondary resources. The distinctions between data, sources, and resources very by discipline and circumstance. For the purposes of this book, primary resources are data, secondary resources are reports of research, whether publications or intern forms, and tertiary resources are catalogs, indexes, and directories that provide access to primary and secondary resources. Sources are the origins of these resources.

  9. Jul 2016
  10. Jan 2014