Model Weights

" ... Model Weight: The term "model weight" means a numerical parameter within an AI model that helps determine the model's outputs in response to inputs."

" ... The term “model weight” means a numerical parameter within an AI model that helps determine the model’s outputs in response to inputs."

" ... Model weights refer to numerical parameters that collectively determine how prompts are processed and converted into outputs within an AI model."

" ... “Model weight” means a numerical parameter in an artificial intelligence model that is adjusted through training and that helps determine how inputs are transformed into outputs."

" ... Model weights means the numerical parameters used in the layers of a neural network."

" ... “Model weight” means a numerical parameter in a frontier model that is adjusted through training and that helps determine how inputs are transformed into outputs."

" ... "Model weight" means a numerical parameter in an artificial intelligence model that is adjusted through training and that helps determine how inputs are transformed into outputs."

" ... The term “model weight” means a numerical parameter within an AI model that helps determine the model’s outputs in response to inputs."

" ... The term ‘model weight’ means a numerical parameter within an artificial intelligence model that helps determine the model’s outputs in response to inputs."

" ... “Parameter” means any variable or value used to control the operation or output of a generative artificial intelligence model."

" ... Model weight means a numerical parameter within an AI model that helps determine the model's outputs in response to inputs."

" ... “Parameter” shall mean any variable or value used to control the operation or output of a generative artificial intelligence model."

" ... 'Parameters' refers to any value learned during training (e.g., network weights, biases, etc.). 'Parameters' for an artificial intelligence model are also known as model weights."

" ... Model Weight: The term “model weight” has the meaning provided in Section 3(u) of Executive Order 14110."

" ... The term “open-weight model” means a model that has weights that are widely available, typically through public."

" ... The term “Critical Technical Artifacts” (CTAs) means information, usually specific to a single model or group of related models that, if possessed by someone other than the model developer, would substantially lower the costs of recreating, attaining, or using the model’s capabilities. Under the technical paradigm dominant in the AI industry today, the model weights of a trained AI system constitute CTAs, as do, in some cases, associated training data and code."

" ... Open-source and open-weight AI models are made freely available by developers for anyone in the world to download and modify."

" ... “Fine-tune” means to adjust the model parameters of an automated decision system through exposure to additional data."