Fondamentaux

Multimodal AI

Définition

AI systems that process and reason across multiple types of data simultaneously—text, images, audio, and video. Multimodal models enable richer enterprise applications such as document understanding that combines tables, charts, and prose.

Exemples

GPT-4o
Google Gemini
Invoice processing with OCR + NLP

Termes Connexes

Foundation Model

A large AI model trained on broad data at scale that can be adapted to a wide range of downstream tasks through fine-tuning or prompting. GPT-4, Claude, and Gemini are examples; under the EU AI Act, providers of GPAI models face specific transparency obligations.

Computer Vision

A field of AI that enables machines to interpret and understand visual information from the world—images, video, and sensor feeds. It underpins applications from quality-control cameras on factory floors to facial recognition and autonomous vehicle perception.

Large Language Model (LLM)

AI models trained on vast amounts of text data that can understand and generate human-like text. Examples include GPT-4, Claude, and Llama. LLMs power modern chatbots, content generation, and code assistance tools.

Services Connexes

Ai Strategy Sprint

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