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CoursesAI Foundations

Capabilities and Limits

Know what a model does well, spot a hallucination, tell confidence from accuracy, and build the habit of checking before you act.

Lessons
6
Exercises
34
Minutes
38

Start What Models Do Well

  1. 1

    What Models Do Well

    After this lesson you can name the kinds of work a model is reliably good at, and the kinds where a good-looking answer means nothing.

    DebugFill blankMultiple choice
    5 exercises
    5 min
  2. 2

    Hallucination and False Confidence

    After this lesson you can explain why a model invents a citation or a fact, and stop reading its confident tone as a sign that it did not.

    DebugFill blankMultiple choice
    5 exercises
    7 min
  3. 3

    Grounding and Citations

    After this lesson you can tell a grounded answer from a remembered one, and ask for the citation that lets you tell the difference.

    DebugFill blankMultiple choice
    5 exercises
    6 min
  4. 4

    Verification Habits

    After this lesson you can decide how much checking a piece of AI output needs, and do the right kind of check for the kind of claim.

    DebugCode orderFill blankMultiple choice
    5 exercises
    6 min
  5. 5

    Checkpoint: Trust, But CheckCheckpoint

    Combine strengths, hallucination, confidence, grounding and the checking habit in fresh situations.

    DebugFill blankMultiple choice
    6 exercises
    6 min
  6. 6

    Boss: Audit an AnswerBoss

    One AI-written research summary, eight decisions: which claims to check, how, and what survives.

    DebugCode orderMultiple choice
    8 exercises
    8 min