resource efficiency
Resource efficiency in the context of AI refers to the optimal use of computational, memory, and energy resources during model training and inference. Improving resource efficiency is crucial to deploy AI systems sustainably and cost-effectively.
- Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning
- Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity
- Mitigating Instability in High Residual Adaptive Sampling for PINNs via Langevin Dynamics
- OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts