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Home
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Glossary
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Multimodal Model
AI Glossary Term
What does “
Multimodal Model
” mean?
Definition
A model that can process or generate multiple data types such as text, image, and audio.
Related terms
Generative AI
AI systems that produce new content such as text, images, audio, video, or code.
CLIP
A multimodal model architecture that learns shared representations between text and images.
Context Window
The maximum amount of input tokens a language model can process at once.
Convolutional Neural Network (CNN)
A neural architecture optimized for processing grid-like data such as images.
Data Drift
A shift in real-world input data over time that can degrade model performance.
Data Labeling
The process of assigning tags or target outputs to raw data for supervised learning.
Learn more in our free guides
AI Models Explained
Model Collapse
Model Lifecycle
Model Context Protocol
See also
Model Quantization
Named Entity Recognition (NER)
Model Drift
Natural Language Processing (NLP)
Model Card
Neural Network
Mixture of Experts (MoE)
Normalization
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Model Quantization
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