An LLM? What's That?
“Knowledge”
Look into the Crystal Ball
It's About Time!
What LLMs DON'T Have
100

What does LLM stand for?

Large Language Model

100

What does an LLM learn from during training?

Text

100

When an LLM generates an answer, what does it predict?

What comes next

100

What is a cutoff date?

The point in time after which the LLM was not trained.

100

True or false: Luckily, an LLM is able to automatically check whether what it is saying is true or not. 

False.

200

An LLM is a computer program trained to read and write what?

Human language

200

Name one type of source that can be part of an LLM's training data.

Web pages, books, or articles

200

An LLM doesn't generate an entire response all at once. What does it do?

It generates it one small chunk at a time.

200

Why might an LLM not know about a recent event?

Because the even happened after it was trained.

200

Without add-on sign-in features, does an LLM remember every previous conversation you had with it?

No.

300

An LLM is trained on an enormous amount of what?

Text

300

An LLM doesn't memorize a list of facts. It learns ___.

It learns patterns.

300

What is a token?

A small chunk of text that an LLM processes.

300

If something happened after its cutoff date, how would the LLM come up with an answer?

It would guess or make it up.

300

By default, does an LLM have live access to the internet?

No.

400

An LLM is a ___ system.

A mathematical system

400

The model calculates: What is the most likely ___ of this text, based on my training?

Continuation

400

A token can be a word, part of a word, or what other type of thing?

A punctuation mark

400

You should always verify important facts the LLM gives you like names, dates, statistics and ___ .

Quotes

400

An LLM has no truth-checking, no memory, no live internet, and no ______.

Intent.

500

What makes an LLM different from a traditional search engine?

An LLM does not simply look up answers; it uses patterns learned during training to generate responses.

500

Why can an LLM write fluently about a topic but still give an answer that is confidently wrong?

Because it learns patterns in language rather than automatically checking whether the information is true.

500

According to the lesson, how many tokens are in the word “Learning”?

Two: “Learn” + “ing”

500

What does the "G" in ChatGPT stand for?

Generative

500

An LLM can sound very confident while giving incorrect information. What is this kind of incorrect but plausible output called?

A hallucination