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.
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Format: | Article |
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MIT News
2024
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Online Access: | https://hdl.handle.net/1721.1/157453 |
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author | Zewe, Adam |
author_facet | Zewe, Adam |
author_sort | Zewe, Adam |
collection | MIT |
description | 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. |
first_indexed | 2025-02-19T04:20:40Z |
format | Article |
id | mit-1721.1/157453 |
institution | Massachusetts Institute of Technology |
last_indexed | 2025-02-19T04:20:40Z |
publishDate | 2024 |
publisher | MIT News |
record_format | dspace |
spelling | mit-1721.1/1574532024-11-01T03:43:04Z Study: Transparency is Often Lacking in Datasets Used to Train Large Language Models Zewe, Adam LLSC AI 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. 2024-10-31T13:05:02Z 2024-10-31T13:05:02Z 2024-08-30 Article https://hdl.handle.net/1721.1/157453 application/pdf MIT News |
spellingShingle | LLSC AI Zewe, Adam Study: Transparency is Often Lacking in Datasets Used to Train Large Language Models |
title | Study: Transparency is Often Lacking in Datasets Used to Train Large Language Models |
title_full | Study: Transparency is Often Lacking in Datasets Used to Train Large Language Models |
title_fullStr | Study: Transparency is Often Lacking in Datasets Used to Train Large Language Models |
title_full_unstemmed | Study: Transparency is Often Lacking in Datasets Used to Train Large Language Models |
title_short | Study: Transparency is Often Lacking in Datasets Used to Train Large Language Models |
title_sort | study transparency is often lacking in datasets used to train large language models |
topic | LLSC AI |
url | https://hdl.handle.net/1721.1/157453 |
work_keys_str_mv | AT zeweadam studytransparencyisoftenlackingindatasetsusedtotrainlargelanguagemodels |