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vision language

Applied AI interview questions tagged vision language, across every topic.

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Concepts behind "vision language"

The curriculum that explains the ideas these questions test.

Core
🧠 Foundations of LLMs & GenAISign in
Multimodal Models and VLMsMultimodal models process more than text, most commonly vision-language models (VLMs) that take images and text together. The key idea is a shared representation: a vision encoder turns an image into embeddings projected into the language model's space, so the LLM can reason over pixels and words jointly. CLIP-style contrastive training puts text and images in one embedding space, enabling cross-modal search. Applied-AI interviews probe it because document understanding, image search, and visual agents all build on it.
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