Multimodal AI
multimodal-ai refers to artificial intelligence models capable of ingesting and/or generating data across various Data-Modalities.
Key Concepts
- Modality: A specific data type or format used as input or output.
- Common Modalities: Includes Text, Images, Audio, Lidar, and Thermal-Imaging.
- Processing Capabilities: Models are distinguished by their ability to integrate and reason across these different data streams simultaneously.
New Insights
- Video Reference:
- Title: What is Multimodal AI? How LLMs Process Text, Images, and More
- Computer Use Agents (CUA):
- Emerging focus on vision-only agents capable of interacting with physical interfaces like web browsers.
- Microsoft Fara 1.5-27B: A significantly improved multimodal CUA designed for web browser automation, building upon the initial Fara 7. It supports local installation and demonstrates real-time browser automation performance.
- Microsoft Fara 1.5-27B: Local Install and Vision-Only Browser Automation Performance