
How AI Works
Interactive Video
•
Professional Development
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Professional Development
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Practice Problem
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Hard
Michael Botti
FREE Resource
5 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a key characteristic of Large Language Models (LLMs) like ChatGPT?
They are trained exclusively on specific tasks like facial recognition.
They are designed to only process numerical data.
They are trained on the largest possible amount of information, including data from the internet, to generate new content.
They can only have conversations and cannot write code.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does AI primarily generate new text or information?
By randomly selecting letters without any pattern.
By using probabilities and predictions based on previously learned data.
By directly copying and pasting existing content.
By consulting human experts for every word.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What was the main drawback of the initial simple method of predicting text letter by letter?
It was too fast and efficient.
It produced overly complex and difficult-to-understand text.
It lacked sufficient context to generate meaningful or coherent output.
It could only work with a limited number of letters.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is NOT one of the three important additions that make advanced AI systems like ChatGPT more effective?
Training on all available information on the internet.
Learning and predicting "tokens" (words, word parts, or code) instead of just individual letters.
Extensive human tuning to ensure reasonable and safe results.
Using a simple table of probabilities for letter prediction.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which statement best reflects the message shared in the closing of the video?
AI should only be used by experienced programmers to ensure it is applied responsibly.
The rapid growth of AI means society should avoid using it until all risks are eliminated.
AI will have widespread impacts, and everyone is encouraged to learn about it and explore what they can create with it.
Large language models are already fully reliable, so users no longer need to understand how they work.
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