Model
NVIDIA
Alpamayo-2-SuperAlpamayo 2 Super is a 34B-parameter foundation model designed to tackle multiple autonomous vehicle (AV) development tasks. It combines a 32B VLM backbone with a 2B diffusion expert.
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Generatable or reverse engineerable personal data?
None
Personal data used to create this model?
Not provided.
Was consent obtained for any personal data used?
Not Applicable
How often is dataset reviewed?
Not provided.
Is a mechanism in place to honor data subject right of access or deletion of personal data?
Not Applicable
If personal data was collected for the development of the model, was it collected directly by NVIDIA?
Not Applicable
If personal data was collected for the development of the model by NVIDIA, do you maintain or have access to disclosures made to data subjects?
Not Applicable
If personal data was collected for the development of this AI model, was it minimized to only what was required?
Not Applicable
Was data from user interactions with the AI model (e.g. user input and prompts) used to train the model?
Not provided.
Is there provenance for all datasets used in training?
Yes
Does data labeling (annotation, metadata) comply with privacy laws?
Not provided.
Is data compliant with data subject requests for data correction or removal, if such a request was made?
Not provided.