NLP
Natural Language Processing (NLP) is a field of AI focused on the interaction between computers and humans using natural language.
Natural Language Processing (NLP) is a field of AI focused on the interaction between computers and humans using natural language.
A type of model architecture primarily used in natural language processing tasks, known for its efficiency and scalability.
Large Language Model (LLM) is an advanced artificial intelligence system trained on vast amounts of text data to understand and generate human-like text.
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.
A component in neural networks that allows the model to focus on specific parts of the input, improving performance.
The process of training an AI model on a large dataset before fine-tuning it for a specific task.
A method in natural language processing where multiple prompts are linked to generate more complex and contextually accurate responses.
In AI, the generation of incorrect or nonsensical information by a model, particularly in natural language processing.