Grant to "support research on how to fine-tune GPT-3 models to identify flaws in other fine-tuned language models' arguments for the correctness of their outputs, and to test whether these help nonexpert humans successfully judge such arguments."
Failed source check$380K
Funder
Recipient
Date
May 2022
Data source
Source
Notes
[AI safety] Grant to "support research on how to fine-tune GPT-3 models to identify flaws in other fine-tuned language models' arguments for the correctness of their outputs, and to test whether these help nonexpert humans successfully judge such arguments."
Other Grants by FTX Future Fund
73Showing 10 of 73 grants
Other Grants to University of Cambridge
2| Grant | Recipient | Amount | Date |
|---|---|---|---|
| University of Cambridge — Machine Learning Research | University of Cambridge | $250K | Apr 2021 |
| ARIA TA1.3: GAIOS | University of Cambridge | Jan 2024 |