AI Pre-Training
The process of training an AI model on a large dataset before fine-tuning it for a specific task.
22 topics found for
“model robustness”
MBSE
Model-Based Systems Engineering (MBSE) is a methodology that uses visual modeling to support system requirements, design, analysis, and validation activities throughout the development lifecycle.
Product Operating Model
A framework that outlines how a product is developed, managed, and delivered, including roles, processes, and tools used throughout its lifecycle.
Stages of Change Model
A psychological model that outlines the stages individuals go through to change behavior, including precontemplation, contemplation, preparation, action, and maintenance.
ModelOps
ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments.
Cross Validation
A statistical method used to assess the generalizability of a model to unseen data, involving partitioning a dataset into subsets for training and validation.
Synthetic Data
Artificially generated data that mimics real data, used for training machine learning models.
Hallucination
In AI, the generation of incorrect or nonsensical information by a model, particularly in natural language processing.
BPML
Business Process Modeling Language (BPML) is a language used for modeling business processes, enabling the design and implementation of process-based applications.