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What are the main criticisms of transformer architectures?
Transformers face three main challenges: (1) quadratic attention complexity 1, (2) lack of inductive bias for structure 2, and (3) data-hungry pre-training 3.
- ā¢ Complexity: O(nĀ²) makes long sequences expensive
- ā¢ Bias: no built-in locality or hierarchy
- ā¢ Data: require billions of tokens to generalize
Which papers to read first?
Based on your knowledge base: start with Vaswani 2017 (the original), then Kitaev 2020 (Reformer) for efficiency solutions.
The AI Research Assistant synthesizes your entire knowledge base to answer questions. Ask 'What are the main criticisms of transformers?' and get a structured answer citing specific papers you've read, with a confidence score and links to the source annotations. It knows what's in your knowledge base ā so it won't hallucinate about papers you haven't read.
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