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Natural language processing is a branch of AI that enables machines to read, understand, interpret, and generate human language. It bridges the gap between human communication and computer understanding, covering tasks like translation, summarisation, and sentiment analysis.
NLP powers the conversational AI revolution — from chatbots to search engines — and is essential for any business wanting to extract insights from text data at scale.
Grammarly uses NLP to analyse your writing in real time, suggesting corrections for grammar, tone, clarity, and style.
Tokenisation
Tokenisation is the process of breaking text into smaller units called tokens — which can be words, subwords, or characters — so that an AI model can process them numerically. Each token is mapped to a number that the model uses for computation.
Embedding
An embedding is a way of representing data — such as words, sentences, or images — as a list of numbers (a vector) in a continuous space. Items that are semantically similar end up close together in this space, allowing machines to understand relationships between concepts.
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.
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.