Expert Router: Orchestrating Efficient Language Model Inference through Prompt Classification

arXiv:2404.15153v1 Announce Type: new
Abstract: Large Language Models (LLMs) have experienced widespread adoption across scientific and industrial domains due to their versatility and utility for diverse tasks. Nevertheless, deploying and serving these models at scale with optimal throughput and latency remains a significant challenge, primarily because of the high computational and memory demands associated with LLMs. To tackle this limitation, we introduce Expert Router, a system designed to orchestrate multiple expert models efficiently, thereby enhancing scalability. Expert Router is a …

abstract adoption arxiv challenge classification computational cs.ai cs.cl cs.pf diverse domains expert industrial inference language language model language models large language large language models latency llms prompt scale scientific tasks through type utility