Why it matters

MLLMs are frontier. Understanding pipeline shapes multimodal projects.

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The architecture

Encoder: pretrained (CLIP, SigLIP, ViT).

Adapter: projects to LLM embedding space.

LLM: pretrained; may fine-tune.

MLLM architectureVision encoderpretrained ViTAdapterMLP or resamplerLLM decodercross-modal reasonStage 1: freeze all but adapter; Stage 2: joint fine-tune
MLLM structure.
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How it works end to end

Stage 1: pretrain adapter (image-caption pairs).

Stage 2: instruction-tune on multimodal SFT.

Stage 3: optional alignment (DPO).