
Deepseek has released the DSpark framework, which improves per-user AI response speeds by 60 to 85 percent. The method uses a smaller model to propose token candidates that a larger model then verifies in batches, allowing more efficient use of available chips. This development could help reduce reliance on restricted high-end US hardware.
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