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A multimodal model can process and generate across multiple data types such as text, images, audio, and video. It learns shared representations that connect meaning across modalities.
Multimodal capability enables richer products like visual assistants, voice-first workflows, and document understanding tools.
A user uploads a chart screenshot and asks an AI assistant to explain trends and draft a summary email.
Computer Vision
Computer vision is a field of AI that enables machines to interpret and understand visual information from images and videos. It uses deep learning models to detect objects, recognise faces, read text, and analyse scenes.
Large Language Model (LLM)
A large language model is an AI system trained on vast quantities of text data that can understand, generate, and reason about human language. LLMs use the transformer architecture and contain billions of parameters, enabling them to perform a wide range of language tasks.
Speech Recognition
Speech recognition is an AI capability that converts spoken language into written text. It uses deep learning models to process audio signals, identify words and phrases, and produce accurate transcriptions in real time.
Our programme follows a structured Level 4 curriculum with project-based learning, practical workflows, and guided implementation across business and career use cases. Funded route available for UK citizens and ILR holders.