Lesson 14 — What Is an LLM?

We have seen that modern AI chatbots can understand questions and generate surprisingly detailed answers.

But what technology makes this possible?

One of the most important technologies behind modern generative AI is the Large Language Model, or LLM.

What Is an LLM?

An LLM is an artificial intelligence model designed to understand and generate human language.

The word “Large” refers to the enormous amount of data and computing power often used to train these models.

“Language Model” means that the model is designed to work with language and learn patterns between words and pieces of text.

What Can an LLM Do?

LLMs can perform many language-related tasks.

• Answer questions
• Write text
• Summarize documents
• Translate languages
• Explain concepts
• Generate ideas
• Write and analyze code

This flexibility is one reason LLMs have become so important to modern generative AI.

How Does an LLM Learn?

An LLM is trained using very large collections of text called datasets.

During training, the model analyzes huge amounts of text and learns patterns between words, sentences, and concepts.

It does not learn language exactly like a human does. Instead, it learns statistical relationships that help it predict what text is likely to come next.

Why Are LLMs Called “Large”?

Modern LLMs can contain billions or even hundreds of billions of adjustable values called parameters.

Parameters are internal values that the model adjusts during training.

A simple way to think about them is as tiny settings that help the model recognize patterns.

LLMs and Generative AI

LLMs are particularly important for generative AI because they can generate new text based on a user’s instructions.

For example, you can ask an LLM:

“Explain artificial intelligence in five simple sentences.”

The model generates an answer based on the patterns it learned during training.

LLMs Are Behind Many AI Tools

Many popular AI assistants use LLMs as part of their underlying technology.

This includes tools such as ChatGPT, Claude, Gemini, and Microsoft Copilot.

The exact models and technologies used by these services can change over time, but the basic idea remains similar: a language model processes your input and generates a response.

LLM vs AI Assistant

An LLM is the underlying AI model.

An AI assistant is the application that lets users interact with an AI model and may provide additional tools and features.

Think of it like this:

LLM = engine

AI assistant = vehicle using the engine

Are All AI Models LLMs?

No.

LLMs are specifically designed to work with language.

Other AI models can specialize in images, audio, video, robotics, or other types of data.

Key Takeaways

• LLM stands for Large Language Model.
• LLMs are designed to understand and generate human language.
• They learn patterns from very large datasets.
• LLMs use parameters to represent patterns learned during training.
• Many modern AI assistants use LLMs.
• LLMs are one of the key technologies behind modern generative AI.

What’s Next?

Now that we know what an LLM is, the next question is how it actually generates text.

In the next lesson, we will explore the basic principles behind language prediction, generation, and context.