Multimodal model
A model that handles more than one kind of input or output, for example text plus images, audio or scanned documents.
01In short
A model that handles more than one kind of input or output, for example text plus images, audio or scanned documents.
In productionScanned forms, photos of damage, voice notes: multimodal is where a lot of back-office work actually sits.
02Video
slot · videoMultimodal model in 90 secondsadd: GUIDES['multimodal-model'].video
03Guide
slot · guide
A step-by-step guide for “Multimodal model” goes here. Suggested outline:
- What it is — in one paragraph
- Why it matters in production
- How to do it — 3 to 7 steps
- Pitfalls we see in the field
04Checklist
slot · checklist
Four to eight things a team can tick before go-live.
05FAQ
slot · FAQ
The three questions clients actually ask about “Multimodal model”.
06Related terms
BasicsLLMA neural network trained on huge amounts of text to predict the next token. That simple objective produces models that write, summarise, translate and reason in language.BasicsFoundation modelA large model trained on broad data that many applications build on — through prompting, retrieval or fine-tuning. Most LLMs are foundation models.
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