Researchers from the University of Washington and Duke University Introduce Punica: An Artificial Intelligence System to Serve Multiple LoRA Models in a Shared GPU Cluster

To specialize in pre-trained large language models (LLMs) for domain-specific tasks with minimum training data, low-rank adaptation, or LoRA, is gaining popularity. Tenants may train various LoRA models at a minimal cost since LoRA greatly reduces the number of trainable parameters by keeping the pre-trained model’s weights and adding trainable rank decomposition matrices to each […]

The post Researchers from the University of Washington and Duke University Introduce Punica: An Artificial Intelligence System to Serve Multiple LoRA Models in a …

ai shorts applications artificial artificial intelligence artificial intelligence system cluster cost data domain duke editors pick gpu intelligence language language model language models large language large language model large language models llms lora low low-rank adaptation machine learning multiple researchers serve specific tasks staff tasks tech news technology train training training data university university of washington washington