LLM
Large Language Model (LLM) is an advanced artificial intelligence system trained on vast amounts of text data to understand and generate human-like text.
Large Language Model (LLM) is an advanced artificial intelligence system trained on vast amounts of text data to understand and generate human-like text.
Natural Language Processing (NLP) is a field of AI focused on the interaction between computers and humans using natural language.
An AI model that has been pre-trained on a large dataset and can be fine-tuned for specific 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.
Business Process Modeling Language (BPML) is a language used for modeling business processes, enabling the design and implementation of process-based applications.
Retrieval-Augmented Generation (RAG) is an AI approach that combines retrieval of relevant documents with generative models to produce accurate and contextually relevant responses.
Domain-Driven Design (DDD) is an approach to software development that focuses on modeling the business domain and its logic.
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).