Self-attention is required. The model must contain at least one self-attention layer. This is the defining feature of a transformer — without it, you have an MLP or RNN, not a transformer.
Bit flips manifest in many ways - computer clusters suddenly dying, data silently being corrupted, and even squatting on domain names that are a bit adjacent.
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