DéjàVu: A Machine Learning System for Efficient and Fault-Tolerant LLM Serving System

The surge in deploying Large Language Models (LLMs) such as GPT-3, OPT, and BLOOM across various digital interfaces, including chatbots and text summarization tools, has brought the critical need for optimizing their serving infrastructure to the forefront. LLMs are notorious for their huge sizes and the substantial computational resources they necessitate, presenting a trio of […]

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