AI Model definition

AI Model means a component of an information system that imple-
AI Model means a set of WorkFusion machine learning algorithms for automating business processes, including associated parameters and weights.
AI Model means a stand-alone large language model that can be connected to JetBrains AI Enterprise as specified in the Documentation.

Examples of AI Model in a sentence

  • AI Model Maintenance: Quarterly federated learning model update (aggregating new data from 20 hotels), semi-annual AI model quantization optimization of the NEXT SMS System (reducing latency by ≥10% each time), and annual emergency model retraining (for major scenario changes).


More Definitions of AI Model

AI Model means the machine learning algorithm described in Attachment A, including associated parameters and associated weights, if present.
AI Model means a system that is designed to process or learn from data entered to conduct cognitive functions that simulate human intelligence. This includes, but is not limited to, search and filtering functionality that collects, tracks, and monitors data whether via sensors, user-entered data, or other sources without a human responsible for verifying the validity and integrity of data inputs and outputs to maintain the system’s integrity, including legal due process if the model is allowed to make decisions on issues that impact human or legal rights.
AI Model means an engineered or machine-based system that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs that can influence physical or virtual environments and that may operate with varying levels of autonomy.
AI Model means a large language or other generative AI model that can generate text, images, and other content without human intervention, based on the data that it is trained on.
AI Model means a system that is designed to process or learn from data entered to conduct cognitive functions that simulate human intelligence. This includes, but is not limited to, search and filtering functionality that collects, tracks, and monitors data whether via sensors, user-entered data, or other sources without a human responsible for verifying the validity and integrity of data inputs and outputs to maintain the system’s integrity, including legal due process if the model is allowed to make decisions on issues that impact human or legal rights. Contractor use of AI models shall comply with each of the following: Materially comply with and observe all applicable State and federal laws, administrative rules, and regulations, including but not limited to privacy, intellectual property, and equity requirements. Maintain the integrity of work performed and Services provided under the Contract, including, but not limited to, ensuring that bias is not introduced into Services provided pursuant to the Contract by Contractor. Maintain the quality of Department information under Contractor’s authority. Maintain the confidentiality, privacy, and security of Confidential Information as defined in Section 24.0 (a) (2). The Contractor shall remove all Department information, including Confidential Information, from AI models used by Contractor upon the Department’s request or, at the latest, upon Contract termination, including removal from AI model training data and learning. The Contractor shall not gain profit from use of Department information, including Confidential Information, that is outside the scope of the Contract. Upon request from the Department the Contractor will disclose within 30 calendar days from the day of the request which Services provided to the Department are using AI models.
AI Model means a mathematical, economic or statistical representation, framework or computational technique, calculation, algorithm or structure that (a) is designed to perform specific tasks without explicit programming or to produce outputs from a given set of Inputs or (b) used to optimize the output of a large language or other model (e.g., retrieval augmented generation or other contextual models). AI Models include machine learning (including deep learning), neural networks, large language models, natural language processing models, computer vision models and other artificial intelligence techniques, approaches and methodologies, including those generating (or capable of generating) output in response to an Input (i.e., generative artificial intelligence).
AI Model refers to the machine learning models developed by Party B for the NEXT SMS System, including but not limited to deep learning-based face recognition models, Convolutional Neural Network (CNN) behavior classification models, Long Short-Term Memory (LSTM) risk prediction models, and lightweight TensorRT-optimized edge inference models.