Scaling Data Filtering With Computational Resources
Data filtering can't be "compute agnostic", optimal approaches depend on available resources & dataset size/complexity, new framework analyzes scaling behavior of data filtering algorithms.
This is a Plain English Papers summary of a research paper called Scaling Laws for Data Filtering -- Data Curation cannot be Compute Agnostic. If you like these kinds of analysis, you should subscribe to the AImodels.fyi newsletter or follow me on Twitter. Overview This paper explores how the computational resources required for data filtering tasks scale with the size and complexity of the data. The key finding is that data curation cannot be "compute agnostic" - the optimal approaches for filtering data depend on the available computational power. The authors propose a framework fo...