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Alay Dilipbhai Shah

2 accepted papers

2024

ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency

EMNLP 2024industry

Large language models (LLMs) have surged in popularity and are extensively used in commercial applications, where the efficiency of model serving is crucial for the user experience. Most current research focuses on optimizing individual sub-procedures, e.g. local inference and communication, however…

Cited by 7SourcePDFScholar
2024

TensorOpera Router: A Multi-Model Router for Efficient LLM Inference

EMNLP 2024industry

With the rapid growth of Large Language Models (LLMs) across various domains, numerous new LLMs have emerged, each possessing domain-specific expertise. This proliferation has highlighted the need for quick, high-quality, and cost-effective LLM query response methods. Yet, no single LLM exists to ef…

Cited by 10SourcePDFScholar