Study: Transparency is Often Lacking in Datasets Used to Train Large Language Models

Researchers developed an easy-to-use tool that enables an AI practitioner to find data that suits the purpose of their model, which could improve accuracy and reduce bias.

Publication Details

Journal
DSpace@MIT (Massachusetts Institute of Technology)
Published
2024-08-30
Primary Topic
Big Data and Digital Economy
Type
article
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article

Study: Transparency is Often Lacking in Datasets Used to Train Large Language Models

DSpace@MIT (Massachusetts Institute of Technology)
Big Data and Digital Economy
article

Study: Transparency is Often Lacking in Datasets Used to Train Large Language Models

article en

Abstract

Researchers developed an easy-to-use tool that enables an AI practitioner to find data that suits the purpose of their model, which could improve accuracy and reduce bias.

DSpace@MIT (Massachusetts Institute of Technology)
Openalex Percentile: Top 32%
Big Data and Digital Economy
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