Generative AI & LLMs
Multimodal LLMs
8 practice questions. Free questions open a full answer guide; the rest unlock with Pro.
- What does it mean for a model to be 'multimodal,' and how is using one multimodal model different from running a separate image model and then a text model?
- You're adding image understanding to an existing text-only LLM. Walk me through how you'd connect a vision encoder to the language model, and the main architectural choices you'd weigh.Go Pro
- When a multimodal LLM is given an image and a question about it, how does the image actually get into the model? Walk me through the main pieces.Go Pro
- Your vision-language model sometimes confidently describes objects or text that aren't in the image. Why does this cross-modal hallucination happen, and how would you reduce it?Go Pro
- How do multimodal LLMs actually combine an image with text, and what are the trade-offs between feeding visual features through cross-attention versus projecting them in as tokens the language model reads alongside text?Go Pro
- When you feed a high-resolution image or a dense document page to a multimodal model and it gets slow and expensive, what's actually driving the cost and what levers do you have to manage it?Go Pro
- How would you evaluate a multimodal model for both quality and safety before shipping it, given that it now takes images as input?Go Pro
- A multimodal LLM does great on describing photos but keeps misreading small text in screenshots and scanned forms. Why does that happen, and what would you do about it?Go Pro
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