Data-centric AI (DCAI): Revision history

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

2 March 2023

28 February 2023

  • curprev 08:5808:58, 28 February 2023Elegant angel talk contribs 3,067 bytes +1,593 No edit summary
  • curprev 08:5308:53, 28 February 2023Elegant angel talk contribs 1,474 bytes +1,474 Created page with "==Introduction== Model-centric AI is the paradigm taught in most ML classes and revolves around producing the best model given a clean, well-curated dataset. In contrast, Data-centric AI involves systematically engineering data to build better AI systems. Data-centric AI can come in two forms: *algorithms that understand data and use that information to improve models *algorithms that modify data to improve ML models. Examples of this include curriculum learning (..."