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AI for Everyoneknowledge~10 mins

Environmental cost of training AI models in AI for Everyone - Interactive Code Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the sentence to explain what contributes most to the environmental cost of training AI models.

AI for Everyone
The main factor causing high environmental cost in AI training is the [1] used by computers.
Drag options to blanks, or click blank then click option'
Aelectricity
Bwater
Cpaper
Dplastic
Attempts:
3 left
💡 Hint
Common Mistakes
Choosing water or paper instead of electricity.
2fill in blank
medium

Complete the sentence to identify a key environmental impact of AI training.

AI for Everyone
Training large AI models can lead to increased [1] emissions, which affect climate change.
Drag options to blanks, or click blank then click option'
Aoxygen
Bargon
Ccarbon dioxide
Dnitrogen
Attempts:
3 left
💡 Hint
Common Mistakes
Confusing oxygen or nitrogen with greenhouse gases.
3fill in blank
hard

Fix the error in the statement about AI training energy use.

AI for Everyone
AI training uses [1] energy, which is always renewable and clean.
Drag options to blanks, or click blank then click option'
Amostly
Bsometimes
Cnever
Donly
Attempts:
3 left
💡 Hint
Common Mistakes
Assuming AI training energy is always renewable.
4fill in blank
hard

Fill both blanks to complete the sentence about reducing AI's environmental impact.

AI for Everyone
To lower the environmental cost, AI developers can [1] model size and [2] energy-efficient hardware.
Drag options to blanks, or click blank then click option'
Areduce
Bincrease
Cuse
Dignore
Attempts:
3 left
💡 Hint
Common Mistakes
Choosing 'increase' or 'ignore' which worsen impact.
5fill in blank
hard

Fill all three blanks to complete the dictionary comprehension about AI training factors.

AI for Everyone
impact = { [1]: [2] for [3] in ['energy', 'hardware', 'data'] }
Drag options to blanks, or click blank then click option'
A{factor}
Bfactor
Df
Attempts:
3 left
💡 Hint
Common Mistakes
Confusing variable names or missing braces.