Modular Architecture and LoRA Supercharge Semantic Routing Efficiency Semantic routing has historically hit a wall when scaling to new classification tasks. Each new intent or filter often required an additional heavy machine learning model, driving up computational cos... cloud-native Flash Attention LoRA machine learning modular architecture multilingual models Rust semantic routing
Uni-LoRA: Ultra-Efficient Parameter Reduction For LLM Training Low-Rank Adaptation (LoRA) revolutionized how we fine-tune large language models by introducing parameter-efficient training methods that constrain weight updates to low-rank matrix decompositions (Hu... computational efficiency isometric projections linear algebra LoRA machine learning mathematics neural networks optimization parameter efficiency projection methods