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Carnegie Mellon University — LLM Use Case Database

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Metadata

Source Tablegrants
Source IDY8n5LoMzQn
Descriptionto Carnegie Mellon University, USD 266805, 2024-05
Source URLcoefficientgiving.org/funds/
ParentCoefficient Giving
Children
CreatedMar 12, 2026, 5:54 AM
UpdatedMar 23, 2026, 3:17 PM
SyncedMar 19, 2026, 8:57 PM

Record Data

idY8n5LoMzQn
organizationIdCoefficient Giving(organization)
granteeIdCarnegie Mellon University(organization)
orgEntityIdCoefficient Giving(organization)
orgDisplayName
granteeEntityIdCarnegie Mellon University(organization)
granteeDisplayNamecarnegie-mellon-university
nameCarnegie Mellon University — LLM Use Case Database
amount266805
currencyUSD
period
date2024-05
status
sourcecoefficientgiving.org/funds/
notes[Navigating Transformative AI] Open Philanthropy recommended a gift of $266,805 to Carnegie Mellon University to support a project led by Professors Hong Shen and Fei Fang to build a database and taxonomy of large language model (LLM) use cases. This is one of two grants we recently made to support
programIdEXpTP-ujq6
dataSourceId

Source Check Verdicts

confirmed95% confidence

Last checked: 4/29/2026

1 → confirmed

Debug info

Thing ID: Y8n5LoMzQn

Source Table: grants

Source ID: Y8n5LoMzQn

Parent Thing ID: sid_ULjDXpSLCI