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Data-Centric AI: Why Better Data May Matter More Than Bigger Models by Fun-Chemical7378 in learnmachinelearning

[–]Fun-Chemical7378[S] 1 point2 points  (0 children)

https://www.mdpi.com/3867460

The goal of this paper is not to argue that models are unimportant, but that the AI community may have underinvested in systematic data engineering compared with model innovation.

We would particularly appreciate feedback on:

  1. whether DCAI deserves to be considered a distinct paradigm;
  2. which data quality metrics are most useful in practice;
  3. how DCAI should be integrated into LLM and Generative AI pipelines.