AI Glossary
Multimodal
Understanding AI Terminology
AI systems that can understand and generate multiple types of content like text, images, and audio.
What It Means
Multimodal AI systems can process and generate multiple types of data, including text, images, audio, and video. Rather than being limited to one format, multimodal models can understand images and answer questions about them, generate images from text descriptions, transcribe audio, and combine these capabilities. This enables richer interactions and more versatile applications.
Examples
- GPT-4o can analyze images and answer questions about them
- Gemini can process video content
- Claude can understand charts and diagrams
How This Applies to ARKA-AI
ARKA-AI supports multimodal models, allowing you to share images and get AI analysis alongside text conversations.
Frequently Asked Questions
Common questions about Multimodal
Multimodal AI can describe image contents, answer questions about images, extract text from photos, analyze charts and graphs, and even explain memes or diagrams.
Yes, processing images typically costs more than text alone because images contain more information. However, it's often worth it for tasks that need visual understanding.
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