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    Home » This AI Paper Proposes Retentive Networks (RetNet) as a Foundation Architecture for Large Language Models: Achieving Training Parallelism, Low-Cost Inference, and Good Performance
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    This AI Paper Proposes Retentive Networks (RetNet) as a Foundation Architecture for Large Language Models: Achieving Training Parallelism, Low-Cost Inference, and Good Performance

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    This AI Paper Proposes Retentive Networks (RetNet) as a Foundation Architecture for Large Language Models: Achieving Training Parallelism, Low-Cost Inference, and Good Performance
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