How Vision Language Models Are Trained from “Scratch”

Training Vision Language Models isn’t about starting from zero; it’s about orchestrating pre-trained backbones, Q-Formers, and LoRA adapters. Ahmad Wael breaks down the technical architecture of multimodal AI, explaining why freezing weights and using cross-attention is the only efficient way to give text models vision capabilities without massive compute costs.