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Computing, AI and Digital Technologies

22 PYQs · Asked in 8 of 16 years · Free practice

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Artificial Intelligence, Machine Learning and Deep Learning

2 PYQs · Asked in 2 of 16 years

PYQs on Artificial Intelligence, Machine Learning and Deep Learning

2 PYQs from 2011–2026
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Prelims 2026

1 question
Science & TechnologyComputing, AI and Digital TechnologiesArtificial Intelligence, Machine Learning and Deep LearningMedium (editorial estimate)
Question details
Type:
Statement based
Skill:
Concept understanding
Tags:
Artificial Intelligence, Machine Learning and Deep Learning

Classification and difficulty are editorial labels. Explanations are awaiting review.

2026 · Q42

Prelims 2026, question 42: Artificial Intelligence, Machine Learning and Deep Learning

Which of the following statements with regard to Large Language Models (LLMs) used in machine learning is/are correct ? 1. LLMs assign probabilities to the next possible words and then pick the one with the highest probability. 2. LLMs process data through mathematical optimization to minimise prediction errors. 3. LLMs produce unbiased outputs. Select the answer using the code given below :

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Prelims 2020

1 question
Science & TechnologyComputing, AI and Digital TechnologiesArtificial Intelligence, Machine Learning and Deep LearningMedium (editorial estimate)
Question details
Type:
Statement based
Skill:
Fact recall
Tags:
AI applications · Artificial Intelligence, Machine Learning and Deep Learning
Related topics:
Medical Devices, Imaging and Digital Health

Classification and difficulty are editorial labels. Explanations are awaiting review.

2020 · Q38

Prelims 2020, question 38: Artificial Intelligence, Machine Learning and Deep Learning

With the present state of development, Artificial Intelligence can effectively do which of the following? 1. Bring down electricity consumption in industrial units 2. Create meaningful short stories and songs 3. Disease diagnosis 4. Text-to-Speech Conversion 5. Wireless transmission of electrical energy Select the correct answer using the code given below:

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