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Tokens. Attention. Softmax. Why a fluent model still invents things. Watch Session 1 free, and walk into your interview already knowing the answers.

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  • Lab 1 — runs in your browser, nothing to install
  • 84 interview questions, every one answered
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How LLMs Work

Free6 minSession 1
The classTokens to answers, with real numbers on the board.
Video lessonFull chapter: 15 min
Interview quizScore yourself: 7 questions
Hands-on labBuild it yourself: 7 steps
Part of the 14-day AI Engineer interview course
16 sessions570 interview Q&AHands-on labsAI mock interviews
Why this chapter

Confusing theory to confident answers.

Every AI interview starts here. This chapter takes you through it one clear step at a time.

Your Session 1 board

Viewing progress for How LLMs Actually Work

▶  Watch•••
★
Video lesson
Covers
Tokens to transformers
Length 15 min
WatchLater
❖  Quiz•••
★
Interview quiz
Asks
What interviewers ask
Questions 7
StartSkip
✓  Lab•••
★
Hands-on lab
You build
Your first API call
Steps 7
OpenLater
What you get

Everything in Session 1. Watch, test, build, revise.

Pick one or use them all: each works on its own, and even better together. All free for 7 days.

Video lesson
Session 1 · How LLMs WorkVideo  •  6 min  •  Beginner-friendly
Watch 16m
Quiz 7
Lab 7
TokensStep1 of 6
AttentionStep4 of 6
PredictionStep6 of 6

Video lesson

Free for 7 days

The full chapter as one class: tokens and IDs, embeddings and nearest meaning, attention with real numbers, the transformer, weights and backpropagation, softmax, temperature and top-p.

Watch the lesson
Interview quiz
Quiz · How LLMs Work7 questions  •  countdown  •  model answers
Q1Why do long chats cost more?
Q2Why is the first token slow?
Q3How do you fix hallucination?

Interview quiz

Free for 7 days

Seven questions interviewers really ask on this topic. A countdown to think, then the answer to say out loud.

Take the quiz
Hands-on lab
Lab 1 · Your first callRuns in your browser  •  ~30 min
Step 3Run the snippet
Step 5Force a cut-off
Step 6English vs Hindi

Hands-on lab

Free for 7 days

A notebook in seven steps: make your first call, read the token usage, force a cut-off answer, and see Hindi use more tokens than English. One part works offline.

Open the lab
Interview questions
Interview questions · Session 1Asked in real interviews  •  model answers
TokensWhy Hindi costs more
KV cacheWhy the first token is slow
HallucinationHow you reduce it

Interview questions

Free for 7 days

The questions interviewers really ask on this chapter, each with a written answer you can say out loud.

Read the questions
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Why learn it here

Scattered tabs to one clear path.

Drag the handle to compare.

Without

Five sources that don’t agree with each other.

Random videos
Blog posts
Guesswork
With Session 1

One session that explains it all, in order.

Clear concepts
Real numbers
Interview answers
One
• video
• quiz
• lab
• questions
‹›
How it works

From sign-up to interview-ready — in one flow

Sign up

Name and email. Thirty seconds, no payment.

Test yourself

Seven interview questions, answers revealed after a countdown.

›
+
You’re in
Watched: tokens, attention
Quiz: 7 of 7
Lab built. Interview-ready.

Watch

The full chapter in plain words, with real numbers on the board.

Build it

Run the lab notebook and see every idea work for yourself.

Why learners pick it

Learn it once. Wonder why it ever felt hard.

Learners come for one of these, and stay for all three.

Actually free

Your wallet will thank you

No card, no trial trap. Watch the whole chapter, then decide.

Plain words

Real numbers, not buzzwords

Every idea drawn on the board with numbers you can check yourself.

Interview-first

No “theory phase”

Sign up and you’re answering real interview questions today.

16min

one full video class, start to finish

7

real interview questions, with model answers

30min

hands-on lab you run yourself

Inside the chapter

The questions every AI interview starts with

Tokens & token IDsWhy Hindi costs moreEmbeddingsCosine similarity Self-attention (Q, K, V)Multi-head attentionThe transformerWeights & parameters BackpropagationSoftmaxTemperature, top-p, top-kKV cache Context windowHallucinationMixture of Experts
You’re in. Enjoy the class!

Session 1: How LLMs Actually Work

Session 1 · How an LLM is built, in six steps 6 min

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