AI Pre-Training
The process of training an AI model on a large dataset before fine-tuning it for a specific task.
The process of training an AI model on a large dataset before fine-tuning it for a specific task.
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.
A programming paradigm that uses objects and classes to structure software design, promoting reusability and scalability.
Model-View-Controller (MVC) is an architectural pattern that separates an application into three main logical components: the Model (data), the View (user interface), and the Controller (processes that handle input).
Knowledge Organization System (KOS) refers to a structured framework for organizing, managing, and retrieving information within a specific domain or across multiple domains.
Domain-Driven Design (DDD) is an approach to software development that focuses on modeling the business domain and its logic.
Software agents that can perform tasks or services for an individual based on verbal commands.
A machine learning-based search engine algorithm used by Google to help process search queries and provide more relevant results.
The process of integrating knowledge into computer systems to solve complex problems, often used in AI development.