Multimodal
[/ˌmʌltiˈmoʊdəl/]
Definitions
Describing AI systems capable of processing and generating multiple types of data — such as text, images, audio, and video — in a unified model. Multimodal AI can answer questions about images, generate images from text, transcribe speech, and reason across modalities simultaneously.
“The multimodal model analyzed the chart image and provided a written summary of the trends.”
Related Terms
- AgenticAI & Technology
Describing AI systems capable of autonomous action, planning, and decision-making. An agentic AI can break down tasks, use tools, and work toward goals with minimal human intervent...
- Chain of ThoughtAI & Technology
A prompting technique where a language model is encouraged or required to show its step-by-step reasoning before providing a final answer. Chain-of-thought prompting significantly ...
- Context WindowAI & Technology
The maximum amount of text (measured in tokens) that a language model can process and "remember" in a single interaction. Information outside the context window is inaccessible to ...
- Few-ShotAI & Technology
A prompting approach where a small number of input-output examples are included in the context to guide model behavior on a new task. Few-shot prompting helps models understand the...
- Fine-TuningAI & Technology
The process of further training a pre-trained model on a smaller, task-specific dataset to adapt its behavior for a particular domain or style. Fine-tuning updates the model's weig...
- HallucinationAI & Technology
When an AI model generates false, fabricated, or misleading information that it presents confidently as fact. A major challenge in deploying AI systems for factual tasks.