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Step	Data Format	Example Matrix Shape	Detailed Explanation
1. Raw Image Input	Pixel Matrix	[1, 3, 224, 224]	A single 224x224 3-channel (RGB) color image.
2. ViT Patching	Patch Sequence	[1, 196, 768]	The image is sliced into 196 patches of size 16x16 and flattened into vectors.
3. ViT Output	Visual Feature Sequence	[1, 196, 768]	Processed by the ViT encoder to obtain a feature sequence containing global information.
4. Connector Projection	Aligned Visual Features	[1, 196, 4096]	Visual features are projected into a 4096-dimensional space to align with the LLM's word embedding dimension.
5. Text Embedding	Tokenized Text Features	[1, 5, 4096]	The question "What is in the image?" is tokenized and embedded into five 4096-dimensional vectors.
6. Multimodal Concatenation	Input Visual + Text Joint Features	[1, 201, 4096]	Concatenating 196 visual tokens and 5 text tokens along the sequence dimension.
7. LLM Generation Output	Generated Token ID Sequence	[1, 7]	The LLM generates a 7-token answer based on the joint features.