Comprehensive glossary of Artificial Intelligence terms, words, phrases & definitions.
An artificial intelligence glossary of terms serves as a valuable resource, providing clear definitions for concepts like "Turing Test," "multimodal systems," and "machine learning," tailored to the latest advancements. This glossary benefits users—whether beginners, professionals, or educators—by bridging knowledge gaps, ensuring consistent understanding across teams. By offering a centralized reference, it enhances learning efficiency, supports accurate implementation of AI projects, and fosters collaboration, ultimately empowering individuals and organizations to leverage AI technologies with confidence and precision.
Term | Definition |
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multimodal systems |
In artificial intelligence, multimodal systems refer to advanced models or frameworks capable of processing and integrating multiple types of data or input modalities—such as text, images, audio, and video—simultaneously to generate more comprehensive and context-aware outputs.
These systems, exemplified by models like xAI's Grok, leverage techniques such as transformers and cross-modal learning to combine information from diverse sources, enabling applications like real-time translation with visual cues, automated video analysis, or interactive chatbots that respond to both voice and gestures. This approach enhances AI's understanding and interaction with the world, making it more versatile and human-like compared to single-modal systems focused on one data type.
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multimodal |
Machine Learning |
A subset of AI where algorithms enable computers to learn from data and improve over time without explicit programming, used in manufacturing for predictive maintenance and quality control.
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