Adaptive Control of Thought
A cognitive architecture model that explains how humans can learn and adapt to new tasks.
A cognitive architecture model that explains how humans can learn and adapt to new tasks.
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.
The process of training an AI model on a large dataset before fine-tuning it for a specific task.
The process of self-examination and adaptation in AI systems, where models evaluate and improve their own outputs or behaviors based on feedback.
An AI model that has been pre-trained on a large dataset and can be fine-tuned for specific tasks.
A framework that outlines how a product is developed, managed, and delivered, including roles, processes, and tools used throughout its lifecycle.
A psychological model that outlines the stages individuals go through to change behavior, including precontemplation, contemplation, preparation, action, and maintenance.
ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments.
Attention, Interest, Desire, Action (AIDA) is a marketing model that outlines the stages a consumer goes through from awareness to decision.