Shifting to Large Multimodal Models

Chip Huyan discusses the importance of incorporating multiple modalities into machine learning models. Previously, ML models operated in a single data mode (text, image, or audio), limiting their abilities. Humans, however, can work with multiple modalities, such as reading and writing text, viewing images, watching videos, and listening to music. To address this limitation, large multimodal models (LMMs) are being developed by companies like DeepMind, Salesforce, Microsoft, Tencent, and OpenAI. Chip's post provides detailed insights and highlights the significance of working with multimodal data.