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
How IBM Research Is Shaping the Future of Algorithm Development Algorithm development is entering an exciting phase as quantum computing and artificial intelligence (AI) begin to blend with traditional high-performance computing. IBM Research is using its extensiv... algorithms artificial intelligence high-performance computing IBM Research linear algebra optimization quantum computing stochastic processes