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PLoRA slashes decode latency for multi-LoRA serving by over 6x while using pooled memory and near-data processing, revolutionizing how we deploy specialized AI models.
Forget GPU-centric designs: AMMA slashes attention latency by 15x and energy consumption by 7x with a memory-centric architecture for long-context LLMs.
LLMs can discover equations with significantly higher accuracy and robustness by explicitly modeling the multi-step reasoning process scientists use, rather than guessing directly from data.
