Databricks Delivers Fast, Scalable PEFT Model Serving for Enterprise AI Enterprises aiming to deploy AI agents tailored to their proprietary data face the challange of delivering high-performance inference that can scale with complex, fragmented workloads. Parameter-Effic... Databricks enterprise AI GPU optimization inference LoRA model serving PEFT quantization
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
Fine-Tuned Vision-Language Models Are Improving Satellite Image Analysis From monitoring crop health to tracking deforestation, satellite images provide a wealth of critical data. However, teaching a machine to interpret these complex visuals with human-like precision has ... AI applications classification fine-tuning LoRA model adaptation Pixtral-12B satellite imagery vision-language models