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MAA not only outperforms traditional batch-level distillation methods but also slashes optimization costs by 75%, redefining efficiency in memory-driven agent evolution.
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.
