Consider the Following Assertion and Reason pair :
**Assertion :** In Byte Pair Encoding (BPE), each merge operation adds exactly one new token to the
vocabulary.
**Reason :** BPE helps reduce the size of the initial vocabulary by merging the most frequent tokens.
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Both Assertion and Reason are true, and Reason is the correct explanation of
Assertion.
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Both Assertion and Reason are true, but Reason is not the correct explanation
of Assertion.
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Assertion is true, but Reason is false.
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Assertion is false, but Reason is true.
A published solution is not available for this question yet.
Suppose you are given 4x more compute budget to scale a Transformer-based language model.
According to scaling laws, what is the **best way** to utilize this increased compute for optimal
model performance?
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Increase the model size (number of parameters) by 4x and keep the dataset
size and training steps the same.
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Train the same model on 4x more data for 4x more steps without changing
the model size.
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Increase the model size by approximately 2x and increase the amount of
training data by approximately 2x.
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Double the model size and halve the training data size to compensate.
A published solution is not available for this question yet.
In a data preprocessing stage designed to prepare clean, diverse, and safe data, which of the
following examples is likely to be filtered out?
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“All people from that xyz area are thieves. They should be jailed immediately.”
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Kavya’s PAN number is BDZPK1234K and her registered address is 17/4, Green
Park, Delhi.
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[“Reinforcement learning allows agents to learn optimal strategies through
interaction with an environment.”, “Reinforcement learning allows agents to learn optimal
strategies through interaction with an environment.”]
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The Union Budget 2024 proposes increased spending on green energy
infrastructure.
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According to WHO, global life expectancy has increased by 6 years since 2000.
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None of these.
A published solution is not available for this question yet.
Select all the correct input-output representations used for different pretraining objectives based
on the base sentence:
**“The quick brown fox jumps over the lazy dog”**
