The first step, is to stop allocating "memory", and start allocating specific somethings else. Consider the usage pattern:
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.
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"It's not a cure, but because I got a good remission, that hopefully means that I'll keep the cancer at bay for a good long time."
Emer MoreauBusiness reporter
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