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multimodal

FDE interview questions tagged multimodal, across every topic.

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Concepts behind "multimodal"

The curriculum that explains the ideas these questions test.

Core
🧠 Foundations of LLMs & GenAISign in
Multimodal Models and VLMsA vision-language model lets an LLM see by running images through a vision encoder and a projection layer that turns them into tokens the language model reads alongside text. CLIP-style contrastive training aligns image and text into one embedding space, powering image search and zero-shot classification. FDE loops probe this because document, chart, and screenshot understanding is a common deployment, and the failure modes (counting, fine detail, hallucinated visual facts) are specific.
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