Carnegie Mellon University — LLM Use Case Database

Organization:
Carnegie Mellon University
Award Date:
05/2024
Amount:
$266,805
Purpose:
To support a project to build a database and taxonomy of large language model (LLM) use cases.

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 this work.

This grant was funded via a request for proposals for projects studying and forecasting the real-world impacts of systems built from LLMs. This falls within Open Philanthropy’s focus area of potential risks from advanced artificial intelligence.

 

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