Feature Request: Multimodal Learning - Implement Multimodal Models for Text and Image Analysis

[HsiangNianian]

Multimodal learning involves combining text, images, and other data types to build more comprehensive models. This task will involve creating models that can process both text and images together (e.g., image captioning, text-to-image).

• Modeling: How will we integrate text and image data into a unified model?
• Applications: What are some use cases for multimodal systems (e.g., visual question answering, image captioning)?
• Challenges: What are the main challenges in combining multimodal data (e.g., alignment, synchronization)?

Expected Outcome:

• A multimodal learning system capable of combining text and image data for comprehensive analysis.
• APIs to integrate text and image-based NLP tasks with other AI systems.

Labels: feature, multimodal, NLP