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By treating a cluster's DRAM as a single cache, DPC slashes data redundancy and coherence overhead, achieving up to 12.4x speedups.
Domain-specific LLM applications can consume surprisingly more energy than generic LLMs, especially when designed with complex, agentic RAG pipelines for enhanced accuracy.
Generalizing to unseen compositions? This plug-and-play method leverages structure in the embedding space to adapt prompts, significantly boosting open-vocabulary zero-shot learning.
