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Forget training from scratch: HyLo lets you breathe new (long-context) life into your existing Transformer LLMs, achieving 32x context extension and 90% KV-cache reduction.
Diffusion models can be made more efficient by dynamically allocating compute to image regions based on their information content, achieving better image quality with fewer FLOPs.
