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.
Main Author: | Zewe, Adam |
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Format: | Article |
Published: |
MIT News
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/1721.1/157453 |
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