LLM: The Foundation of Everything

Module 1 · Section 2 of 3

Let’s start with the term you’ll hear in every AI conversation.

LLM — Large Language Model

What it actually means: An LLM is AI software trained on massive amounts of text to understand and generate human-like language. Think ChatGPT, Claude, or Google’s Bard.

The plain English explanation: Imagine someone who read almost everything on the internet, then learned to have conversations based on all that information. That’s essentially what an LLM is — but it’s software, not a person.

Why this term matters in business: When people talk about “implementing AI” or “AI strategy,” they’re usually talking about using LLMs. Understanding this term helps you recognise what’s actually being discussed.

How to use it confidently:

“We should evaluate which LLM works best for our customer service needs”
“The LLM integration could streamline our content creation process”
“Different LLMs have different strengths for our use case”

Red flag to avoid: Don’t say “LLM model” — that’s redundant (Large Language Model model). Just say “LLM” or “the model.”

What this reveals about AI limitations: LLMs work with language and text. They don’t “think” like humans or have real understanding — they’re incredibly sophisticated pattern matching systems trained on text.

Real business context: When your IT team talks about “deploying an LLM solution,” they mean integrating one of these AI language systems into your business processes. Now you know what they’re actually discussing.

Today’s practice: Notice when people say “AI” in meetings or articles. Ask yourself: are they talking about LLMs specifically, or something else? Most of the time, it’s LLMs.