A Large Language Model (LLM) is a neural network trained on vast text datasets to predict and generate language. Models like GPT-4 and Claude power chatbots, copilots, and document automation.
LLMs do not truly 'understand' text — they estimate probable tokens. Reliable enterprise use requires grounding with retrieval (RAG), guardrails, human review, and monitoring for hallucinations.
Understanding tokens, context windows, fine-tuning vs prompting, and cost/latency trade-offs is essential for UK AI roles.