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Developers using the streams API are expected to remember to use options like highWaterMark when creating their sources, transforms, and writable destinations but often they either forget or simply choose to ignore it.

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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.