AI Glossary.
Image-to-Image
The process of generating an image using another image as the prompt, translating the initial image while retaining essential features.
Image-to-Image
The process of generating an image using another image as the prompt, translating the initial image while retaining essential features.
Inference
The process of an AI model applying the information learned during training to generate an actionable result.
Input
The data provided to an AI system to explain a problem, situation, or request.
Large Language Model (LLM)
A type of generative AI that processes and generates human language to perform various language-related tasks.
Low-Code/No-Code
Tools and platforms that enable individuals to create AI applications with zero, or very little, coding knowledge.
Machine Learning (ML)
A type of AI model in which the machine learns to perform tasks and optimize performance through experience.
Modality
The type of data being generated by an AI model (e.g., text, images, audio, etc.).
Multimodal
The ability of AI models to understand and generate content across multiple types of modalities.
Natural Language Processing (NLP)
A branch of machine learning that enables AI models to understand and generate human language in the form of text or voice.
This glossary acts as an essential reference tool of artificial intelligence terms, serving as a valuable resource for both beginners and experts in the field.