Catalog
Challenges are scored flashcard sessions attached to lessons. Reveal an answer, grade your recall, and repeat the cards that still need another pass.
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Implement the core routing behavior of a simplified OpenHands-style EventStream.
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Build and verify padding, causal, decoder, packed-document, and masked-softmax behavior for attention masks.
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Recall why Transformer training needs padding masks and sequence masks before attention probabilities are computed.
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Recall how padding masks remove artificial tokens from the attention softmax and weighted value sum.
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Recall how causal masks make decoder self-attention match autoregressive generation.
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Recall where src_mask and tgt_mask flow through encoder, decoder self-attention, decoder cross-attention, and PyTorch APIs.
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Recall sample packing masks, block diagonal attention, packing strategies, and rank-collapse implications from the advanced Mask section.
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