Buckets:
| Field | Response | |
| :----------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------- | |
| Generatable or reverse engineerable personal data? | No | |
| Personal data used to create this model? | No | |
| Was consent obtained for any personal data used? | Not Applicable | |
| How often is dataset reviewed? | During dataset creation and model training | |
| Was data from user interactions with the AI model (e.g. user input and prompts) used to train the model? | No | |
| Is there provenance for all datasets used in training? | Yes | |
| Does data labeling (annotation, metadata) comply with privacy laws? | Yes | |
| Is data compliant with data subject requests for data correction or removal, if such a request was made? | No, not possible with externally-sourced data. | |
| Applicable Privacy Policy | https://www.nvidia.com/en-us/about-nvidia/privacy-policy/ | |
Xet Storage Details
- Size:
- 1.57 kB
- Xet hash:
- 59b9955702fb2550baa9cf06d530e58a41fae55a989d62f1294f063c2775a4ce
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.