What Is a Large Language Model?

Lesson goals

• Many parameters
• General pretraining
• Adaptation to many tasks

Core idea

A model learning language patterns from very large datasets.

1. Many parameters: understand it in context, identify inputs and outputs, and define how the result will be verified.

2. General pretraining: understand it in context, identify inputs and outputs, and define how the result will be verified.

3. Adaptation to many tasks: understand it in context, identify inputs and outputs, and define how the result will be verified.

Practical example

Consider a real application of “What Is a Large Language Model?.” Start small, identify available data, and compare the system with a clear baseline before expanding it.

Check your understanding

1. Explain “What Is a Large Language Model?” in your own words.
2. Give one appropriate and one misleading application.
3. What risk or limitation should be monitored?