Multimodal AI

Multimodal AI refers to models that can take in and reason across more than one kind of data, such as text, images, audio and video, within the same task.

Related Terms

  • Artificial Intelligence (AI)

    Artificial intelligence (AI) is the field of building computer systems that can perform tasks that normally require human intelligence. These include understanding language, recognising images, making predictions and deciding what to do next.

  • Conversational AI

    Conversational AI is technology that lets people interact with software through natural dialogue, in text or voice. Chatbots, voice assistants and AI support agents are common examples.

  • Large Language Model (LLM)

    A large language model (LLM) is a neural network trained on very large amounts of text to predict and generate language. It powers chat assistants, summarisers, coding tools and AI agents.

  • Computer Vision

    Computer vision is the field of AI that lets software interpret images and video. Typical tasks are classifying objects, detecting defects, reading text and tracking movement.

  • Generative AI

    Generative AI refers to models that create new content, such as text, images, code, audio or video, from patterns learned in large amounts of training data.

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