These are GenAI questions of the kind Adobe actually asks — the patterns reported from Adobe's GenAI and AI-engineering rounds, where design trade-offs, scale and safety matter as much as definitions. My advice: treat this page as a mock interview. Say every answer out loud before revealing it — GenAI rounds are conversations, not written tests. If an answer surprises you, the lesson behind it is linked at the bottom.
Adobe GenAI concept questions
At intuition level, how do diffusion models generate images from text prompts?
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Give an example of a workflow where text and image generation must work TOGETHER, and identify the technical glue that keeps outputs consistent.
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What copyright and provenance concerns surround generative image models, and what technical/practical measures address them?
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Adobe GenAI applied & hands-on questions
A brand's voice: playful, short sentences, no jargon, always ends with a call-to-action, never mentions competitors or discounts above 20%. Write the system prompt for their product-caption generator, and mark which rules you would ALSO enforce outside the prompt.
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How to use this page: Adobe rarely asks a question you've never seen — they ask standard GenAI concepts and then push one level deeper ("why?", "what would you do if..."). Master the concept in the GenAI course lessons, and the follow-up stops being scary.
Keep practising: How LLMs Work, Prompting Basics, RAG and Fine-tuning vs RAG cover what most Adobe GenAI rounds test.