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76 questions
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Tokenization
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Transformer Architecture
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Put the BPE training…
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Medium
Order the steps of canonical embed then rerank 2 stage retrieval
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Medium
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Order the steps for…
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Medium
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Order the operations inside…
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Medium
Order the pipeline that stretches an 8k pretrained model to 128k context
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Hard
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Order the tail end…
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Order the sublayers a token visits inside one encoder-decoder decoder block
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Easy
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Order the four steps…
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Medium
Order the attention sub-layers in a T5 decoder block and what each one's Q, K, and V read from in self-attention versus in cross-attention.
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Medium
Arrange a production pretraining data pipeline in order.
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Easy
Order the phases of a warmup-stable-decay pretraining run
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Easy
Order the on call response to a sudden loss spike at 600B tokens
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Easy
Order these instruction datasets from highest to lowest quality per example
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Hard
Order the ship readiness steps for a production fine-tuned model
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Medium
Walk through the triage order when a customer support LoRA tanks MMLU by 4 points post-deploy
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Medium
Order the pieces of state that must be restored to resume a training run bit exactly
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Medium
Sequence the forward passes and loss steps inside a single DPO training step
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Medium
Order the steps in building a 5k pair DPO dataset on helpfulness.
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Medium
Order the three canonical RLHF stages from pretrained base to aligned assistant
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Easy
Order a post-training pipeline from base checkpoint to deployed assistant
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Easy
Order the stages of a constitutional RLAIF pipeline
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Medium
Order the four phases of a single iteration of a ReAct (Reason + Act) loop in the correct sequence.
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Medium
Order retrieved chunks by relevance into a layout that exploits primacy and recency
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Easy
Order the stages of a retrieval and assembly pipeline that exploits the lost-in-the-middle curve
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Medium
Order the components of one agent iteration as they appear in the assembled prompt, top to bottom
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Medium
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