How Large Language Models Work

Transformers, tokens, and attention without the math intimidation. Build the mental model every educator needs before deploying AI in any learning environment.

~1 hour Intermediate Hands-on Precision AI Academy

Today's Objective

Transformers, tokens, and attention without the math intimidation. Build the mental model every educator needs before deploying AI in any learning environment.

Content coming soon.

What's Next

The foundations from today carry directly into Day 2. In the next session the focus shifts to Prompt Engineering for Teaching — building directly on everything covered here.

Supporting Videos & Reading

Go deeper with these external references.

YouTube

How Large Language Models Work — Video Walkthroughs Community tutorials and walkthroughs covering the concepts in this lesson.

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YouTube

How Large Language Models Work Explained Deep-dive explanations and live-coding sessions from top educators.

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Official Docs

Official Documentation Primary reference documentation for the technologies covered in this lesson.

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GitHub

Open Source Examples Real-world codebases demonstrating the patterns taught in this lesson.

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Day 1 Checkpoint

Before moving on, verify you can answer these without looking:

What is the core concept introduced in this lesson, and why does it matter?
What are the two or three most common mistakes practitioners make with this topic?
Can you explain the key code pattern from this lesson to a colleague in plain language?
What would break first if you skipped the safeguards or best practices described here?
How does today's topic connect to what comes in Day 2?

Continue To Day 2

Day 2

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