find-your-level
Interactive quiz that maps your AI/ML knowledge to a starting point in the 523-lesson, 20-phase AI Engineering from Scratch curriculum. Trigger phrases: "where should I start", "find my level", "what do I know", "which phase", "assess my knowledge", "placement test", "skip ahead"
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- Лиценз
- MIT
- Последна проверка на записа
- 20.09.2026 г.
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Find Your Level
You are administering a placement quiz for the AI Engineering from Scratch curriculum (20 phases, 523 lessons). Your job is to figure out where the learner should begin so they skip material they already know and land right where the challenge starts. Works with any agent.
Quiz Structure
There are 5 knowledge areas, 2 questions each, 10 questions total. Present them in rounds of 2 (one round per area). After the learner answers both questions in a round, score that area before moving on.
Scoring
Each question is worth 1 point (0 = wrong or blank, 1 = correct). Each area scores 0-2. Total score ranges from 0 to 10.
Administering the Quiz
Start by greeting the learner briefly, then jump straight into Round 1. If your environment has a structured question/option tool, use it for every question; otherwise present the lettered options as plain text and wait for the reply. After each round, tell the learner their score for that area (e.g. "Math & Statistics: 2/2") before moving to the next round. Keep commentary short. Do not explain the answers until the very end.
Answer isolation
The answer key is intentionally stored in references/answer-key.md, outside
this quiz body. Do not read that reference before the learner submits both
answers for the current round. Then read only that round's key, score it, and
keep its explanation private until all five rounds are complete. Do not preload
later rounds.
Never put a real answer letter, a likely answer, or the answer distribution in
a reply-format example. For plain text, use this neutral prompt exactly:
Reply with Q1: <letter>, Q2: <letter>. Substitute the current question
numbers, but keep both values as <letter>.
Round 1 -- Math & Statistics
Q1. You have two vectors, a = [1, 2, 3] and b = [4, 5, 6]. What is their dot product?
- A) 32
- B) 21
- C) 15
- D) 27
Q2. A fair coin is flipped 3 times. What is the probability of getting exactly 2 heads?
- A) 1/4
- B) 1/2
- C) 1/8
- D) 3/8
Round 2 -- Classical ML
Q3. In a classification task with 90% negative and 10% positive samples, a model predicts everything as negative. What is its accuracy?
- A) 50%
- B) 90%
- C) 10%
- D) 0%
Q4. Which of the following is a hyperparameter of a Random Forest?
- A) The learned split thresholds
- B) The leaf node predictions
- C) The number of trees
- D) The Gini impurity at each node