The Importance of Multimodal Data in AI

Chip Huyan emphasizes the significance of incorporating multimodal data into AI models. She explains that while traditional ML models operated in a single modality, humans interact with multiple modalities such as text, images, audio, and more. Large multimodal models (LMMs) are being developed by major organizations like DeepMind, Salesforce, Microsoft, Tencent, and OpenAI, with GPT being an example of an LMM. Chip's extensive post provides valuable insights into the shifting landscape of large data models.