TransformersIntermediate
Transformers & Attention
Ten questions that probe the mechanics behind self-attention, positional encoding, KV caching, and the design choices that make transformers work in practice.
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Quizzes
Test your ML depth. Each quiz covers a focused topic with 10 questions — answer, see the explanation, and track your score at the end.
TrainingIntermediate
Training & Optimization
Ten questions on the mechanics of gradient descent, adaptive optimizers, learning rate schedules, gradient pathologies, and the numerical tricks that keep large model training stable.
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RL & AlignmentAdvanced
Reinforcement Learning for LLMs
Ten questions on the policy gradient theorem, PPO, reward modelling, RLHF, KL penalties, and the RL concepts that underpin modern LLM alignment and fine-tuning.
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Math & StatsAdvanced
Math & Statistics for ML
Ten questions on the mathematical foundations underlying modern ML — probability, information theory, linear algebra, and the statistical reasoning behind common model design choices.
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