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FAIR Enough: Develop and Assess a FAIR-Compliant Dataset for Large Language Model Training?
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| Published in: | Data Intelligence |
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| Format: | Online Article RSS Article |
| Published: |
2024
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| _version_ | 1868553601895366657 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Data Intelligence |
| description | |
| discipline_display | Dattabase Management |
| discipline_facet | Dattabase Management |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:77080 |
| institution | FRELIP |
| journal_source_facet | Data Intelligence |
| last_indexed | 2026-06-20T21:39:33.054Z |
| publishDate | 2024 |
| publishDateSort | 2024 |
| record_format | rss_article |
| spellingShingle | FAIR Enough: Develop and Assess a FAIR-Compliant Dataset for Large Language Model Training? Dattabase Management General Dattabase Management |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Dattabase Management General Dattabase Management |
| subject_facet | Dattabase Management General Dattabase Management |
| title | FAIR Enough: Develop and Assess a FAIR-Compliant Dataset for Large Language Model Training? |
| title_alt | Suficientemente FAIR: ¿Desarrollar y evaluar un conjunto de datos compatible con FAIR para el entrenamiento de modelos de lenguaje grandes? Assez FAIR : Développer et évaluer un ensemble de données conforme à FAIR pour l'entraînement de grands modèles de langage ? Suficientemente FAIR: Desenvolver e Avaliar um Conjunto de Dados em Conformidade com FAIR para Treinamento de Grandes Modelos de Linguagem? |
| title_auth | FAIR Enough: Develop and Assess a FAIR-Compliant Dataset for Large Language Model Training? |
| title_es_txt | Suficientemente FAIR: ¿Desarrollar y evaluar un conjunto de datos compatible con FAIR para el entrenamiento de modelos de lenguaje grandes? |
| title_fr_txt | Assez FAIR : Développer et évaluer un ensemble de données conforme à FAIR pour l'entraînement de grands modèles de langage ? |
| title_full | FAIR Enough: Develop and Assess a FAIR-Compliant Dataset for Large Language Model Training? |
| title_fullStr | FAIR Enough: Develop and Assess a FAIR-Compliant Dataset for Large Language Model Training? |
| title_full_unstemmed | FAIR Enough: Develop and Assess a FAIR-Compliant Dataset for Large Language Model Training? |
| title_pt_txt | Suficientemente FAIR: Desenvolver e Avaliar um Conjunto de Dados em Conformidade com FAIR para Treinamento de Grandes Modelos de Linguagem? |
| title_short | FAIR Enough: Develop and Assess a FAIR-Compliant Dataset for Large Language Model Training? |
| title_sort | fair enough: develop and assess a fair-compliant dataset for large language model training? |
| topic | Dattabase Management General Dattabase Management |
| url | https://direct.mit.edu/dint/article/6/2/559/123375/FAIR-Enough-Develop-and-Assess-a-FAIR-Compliant |