Kramizo
Log inSign up free
Home › Kramizo AI Literacy › How a large language model produces text
Kramizo · · AI Literacy

How a large language model produces text
Practice Questions

40 Kramizo AI Literacy questions on How a large language model produces text, each with instant feedback and a full examiner-style mark scheme.

⚡ Start Quiz on How a large language model produces text →📖 Read Revision Notes
✨ Revision guide includes key terms, worked examples and exam technique for How a large language model produces text.

Try 2 sample questions on How a large language model produces text

Question 1 · 1 mark · Difficulty 1/3

What is a token, as a language model uses the term?

  1. A single letter of the alphabet
  2. A password that grants access to the model
  3. A unit of text, roughly a short word or a piece of a longer one
  4. A complete sentence of input
Show answer & explanation
✓ Answer: C — A unit of text, roughly a short word or a piece of a longer one
Award 1 mark. Common short words tend to be a single token while longer or unusual words are split into several, and spaces and punctuation are included too.
Question 2 · 1 mark · Difficulty 1/3

What does a large language model do at each step as it produces text?

  1. Searches a database of documents for a matching answer
  2. Checks its draft against a list of verified facts
  3. Translates the question into a formal logical statement
  4. Produces a probability for every token that could come next, then chooses one
Show answer & explanation
✓ Answer: D — Produces a probability for every token that could come next, then chooses one
Award 1 mark. The chosen token is appended and the whole process repeats on the longer text. There is no separate stage for looking anything up or checking a claim.
⚡ Start a Quiz on How a large language model produces text →
20 questions · 25 min · free

Kramizo AI Literacy: How a large language model produces text FAQ

Is Kramizo free for Kramizo students preparing for AI Literacy?
Yes — completely free. Every student gets 45 questions a day on the free plan, with no card required and no trial countdown. That free quota works across every subject and every topic in our bank, so you can mix How a large language model produces text practice with other AI Literacy topics or even switch to a totally different Kramizo subject without paying anything. Kramizo's optional Pro plan removes the daily cap and adds detailed progress analytics, but the free tier is the real product — used by thousands of GCSE, IGCSE and CSEC students.
Are the How a large language model produces text questions aligned to the official Kramizo AI Literacy syllabus?
Every question is written against the published Kramizo AI Literacy specification, including the exact command words (state, describe, explain, calculate, evaluate, etc.), mark allocations, and difficulty tier you'd see on a real Kramizo paper. Explanations are written in the style of official examiner mark schemes — they tell you what is being awarded marks and why distractors are wrong, not just whether you got it right. The bank is continually refined to match the latest syllabus updates from Kramizo.
How is How a large language model produces text typically tested on Kramizo AI Literacy papers?
How a large language model produces text appears across multiple question types on real Kramizo AI Literacy papers — most commonly as multiple-choice questions in the objective section, structured short-answer questions in the main paper, and occasionally as part of an extended response. Kramizo's practice bank reflects that mix: 4-option MCQs, true/false statements, fill-in-the-blank key terms, multi-select questions, and ordering questions. Working through the bank gives you exposure to every question style examiners actually use.

Lock in How a large language model produces text before exam day.

Start practising in 30 seconds — no card required.

⚡ Start Quiz Free →