Derivative Models definition
Derivative Models mean all derivative works, adaptations, extensions or enhancements to models licensed as part of the Licensed Materials, works based on such Licensed Materials, or any other model that is created or initialized by transfer of patterns of the weights, parameters, activations or output of such Licensed Materials to another model, to cause the other model to perform similarly to the Licensed Materials, including distillation methods entailing the use of intermediate data representations or methods based on the generation of synthetic data by the Licensed Materials for training the other model. If you create a Derivative Model or modify any files in the Licensed Materials, those modifications must carry prominent notices stating that you changed the files such that modifications are not misrepresented as the original Licensed Materials. Except as necessary to give attribution to works as described in this section, you are not granted any trademark license under this Agreement.
Derivative Models means all modifications, derivatives, adaptations, extensions or enhancements to a Model, works based on a Model, or any other model created or initialized by transfer of patterns of the weights, parameters, activations or output of a Model, to the other model, to cause the other model to perform similarly to the Model, including (but not limited to) distillation methods entailing the use of intermediate data representations or methods based on the generation of synthetic data by the Model for training the other model.
Derivative Models mean all derivatives, adaptations, extensions or enhancements to the NVIDIA AI Foundation Models, works based on the NVIDIA AI Foundation Models, or any other model which is created or initialized by transfer of patterns of the weights, parameters, activations or output of the NVIDIA AI Foundation Models, to the other model, in order to cause the other model to perform similarly to the NVIDIA AI Foundation Models, including - but not limited to - distillation methods entailing the use of intermediate data representations or methods based on the generation of synthetic data by the NVIDIA AI Foundation Models for training the other model.
Examples of Derivative Models in a sentence
Customer agrees to promptly discontinue use of the affected Software and any NVIDIA intellectual property contained in the Derivative Samples and Derivative Models, and destroy all copies in Customer’s possession or control (including any licenses in use by Customer’s Authorized Users).
Subject to the rights of NVIDIA and its suppliers in Software Offerings, Customer holds all rights, title and interest in and to Customer Products, Derivative Samples and Derivative Models including their respective Intellectual Property Rights.
More Definitions of Derivative Models
Derivative Models means (a) all derivatives, modifications, adaptations, extensions or enhancements to the NVIDIA Models, (b) works based on the NVIDIA Models, or (c) any other model that is created or initialized by transfer of patterns of the weights, parameters, activations or output of the NVIDIA Models, to the other model, in order to cause the other model to perform similarly to the NVIDIA Models, including (but not limited to) distillation methods that use intermediate data representations or methods based on the generation of synthetic data by the NVIDIA Models for training the other model.