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