Multimodal AI

AI that handles more than one type of input — text, images, audio — together.

Multimodal AI works with multiple kinds of input at once — text, images, audio. In communication it means an assistant can read an image a customer sends on WhatsApp (a prescription, a payment screenshot) and respond in text, combining vision and language.

Related AI terms

RAG (Retrieval-Augmented Generation)

A method that feeds an AI model your verified documents at answer time so it stays factual.

Sentiment Analysis

AI that detects the emotional tone of a message or call — positive, negative, urgent.

Deep Learning

Machine learning using many-layered neural networks; powers modern speech, vision and language AI.

AI Guardrails

Rules and checks that keep an AI safe, on-brand and factual — what it must not say or do.

Prompt Engineering

Writing clear instructions that reliably get an AI model to produce the output you want.

Human-in-the-Loop

A design where AI handles routine work but hands sensitive or uncertain cases to a person.

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