Key Takeaways
- Multimodal AI uses multiple input sources (text, images, audio, sensors) to achieve better results and more advanced applications.
- Multimodal AI is more knowledgeable and can associate different inputs to provide enhanced outcomes.
- Examples of multimodal AI models include Google Gemini, OpenAI's GPT-4V, Runway Gen-2, and Meta ImageBind.