In plain language
A model trained on large collections of text to predict and generate language. The most useful way to understand this concept is to connect it to a real problem rather than memorising a definition.
Why it matters
Large Language Model influences how modern digital systems are designed, used or evaluated. Learners should understand its purpose, limitations and relationship to other technologies.
Simple example
Imagine a learner or organisation trying to make a digital service faster, safer or easier to use. Large Language Model may be one part of the system that helps information move, decisions happen or results become more relevant.
Questions to ask
- What problem does it solve?
- What input does it need?
- What can go wrong?
- How should a human verify the result?
Continue learning: Explore the course catalogue for a guided lesson and practical activity related to Large Language Model.