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Plain-language AI glossary

Term 14FundamentalsMeaning / context / connections

Fundamentals / Definition

Multimodal AI

AI models that can process and generate multiple types of data: text, images, audio, video, and code.

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01

MeaningThe one-sentence definition.

02

ContextHow the idea works in practice.

03

UsesWhere the concept becomes useful.

01 / Plain-language context

How Multimodal AI works.

Multimodal systems combine more than one kind of input or output, such as text, images, audio, video, or code. That enables workflows like explaining a chart, transcribing a meeting, inspecting a screenshot, or generating media from a description. Capability varies by model and endpoint, so a production system should verify the exact supported inputs, outputs, limits, and safety requirements for each modality.

02 / Practical uses

Where it helps.

  1. 01Image analysis and generation
  2. 02Video understanding
  3. 03Voice assistants
  4. 04Document OCR and analysis
03 / Keep exploring
Large Language Model (LLM)A neural network trained on massive text datasets that can generate, understand, and reason about human language.Computer VisionThe field of AI that enables machines to interpret and understand visual information from images and video.Text-to-Speech (TTS)AI technology that converts written text into natural-sounding spoken audio, enabling voice interfaces and audio content generation.