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
- Author / Channel: Martin Keen
- Inkling Breakthrough:
- Inkling: Thinking Machines Lab’s Open Multimodal AI Breakthrough
- Model: Inkling, the first open-weights multimodal AI model from Thinking Machines Lab.
- Significance: Represents a shift towards open-source accessibility in high-performance multimodal reasoning, contrasting with proprietary closed models.
- Source: Inkling: Why Thinky’s Open Model May Change “Everything” by Prompt Engineering.