Overview

A Large Language Model (LLM) is a type of AI system that is trained on enormous amounts of text and learns patterns in language.

LLMs power many of today’s most popular AI tools, including ChatGPT, Claude, Gemini, and Microsoft Copilot. They can answer questions, summarize information, generate content, write code, brainstorm ideas, and assist with research.

Despite how intelligent they may appear, LLMs do not “think” like humans. Instead, they generate responses by predicting what text is most likely to come next based on patterns learned during training.

The quality of modern LLMs has improved dramatically in recent years, making them useful for a wide variety of personal and professional tasks.

Why It Matters

Large Language Models are the technology that most people interact with when they use AI today.

Understanding what LLMs are—and their strengths and limitations—can help users get better results and avoid common misconceptions.

LLMs are particularly effective at:

• Explaining concepts
• Drafting content
• Summarizing information
• Brainstorming ideas
• Assisting with coding
• Organizing information

They are less reliable when asked to provide perfect factual accuracy, real-time information, or highly specialized expertise without verification.

Learning how to work effectively with LLMs is often the first practical step toward using AI productively.

Learn With AI

One of the best ways to understand an LLM is to experiment with one directly.

Suggested Prompt

Explain how a Large Language Model works using a simple analogy. Assume I have no technical background.

Try This

Ask an AI assistant:

What are the strengths and weaknesses of Large Language Models?

Then ask:

Give me three examples where an LLM would be a good tool and three examples where it would be a poor tool.

Compare the responses and think about where AI can help in your own work.

Learn More

Beginner

• IBM: What Are Large Language Models? — Plain-language overview of LLMs.
• Microsoft Learn: Introduction to Generative AI — Covers how modern AI assistants work.

Intermediate

• Andrej Karpathy: Intro to Large Language Models — Popular high-level explanation of modern LLMs.
• DeepLearning.AI: Generative AI for Everyone — Practical overview for non-technical audiences.

Advanced

• Attention Is All You Need — Foundational paper introducing the Transformer architecture.
• 3Blue1Brown: Neural Networks and Transformers Series — Visual explanation of how modern language models work.

Related Terms

• Token
• Context Window
• Prompt
• Hallucination

Related Topics

• What is AI?