The release of open-weight large language models (LLMs) creates a tension between advancing accessible research and preventing misuse, such as malicious fine-tuning to elicit harmful content. Current ...
ABSTRACT: With the widespread integration of high-penetration renewable energy, load volatility and spatio-temporal imbalances in power systems have intensified, imposing higher demands on real-time ...
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RMSProp optimization from scratch in Python
Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks efficiently. #RMSProp #Optimization #DeepLearning Denmark facing "decisive moment" ...
An international research group has conducted a literature review of capital expenditure-driven levelized cost of electricity optimization strategies for utility-scale PV systems. Tracking ...
If you’re thinking about leveling up your tech career—or finally breaking into software engineering—Python is an ideal place to start. It’s beginner-friendly, wildly in-demand, and used across almost ...
Abstract: The Multi-depot Vehicle Routing Problem with Uncertain Demand (MD-VRPUD) can be modeled as a bi-level optimization problem (BLOP), because it requires both assigning customers to different ...
Optical metasurfaces, with their ultra-thin and lightweight properties, are driving the miniaturization and planarization of optical systems. However, their development from unit-cell design to system ...
Essential settings and system tweaks that instantly boost gaming performance and FPS, empowering gamers with pro-level optimization for smooth, competitive gameplay. Pixabay, AhmedAlMaslamani In the ...
BiDoRA is a Python package implementing true BiDoRA (Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation) for efficient fine-tuning of Large Language Models. Specifically optimized for: ...
Coupled Kernel Model-Assisted Bi-Level Optimization Based on an Adaptive Knowledge Sharing Mechanism
Abstract: The bi-level optimization (BLO) algorithm has been extensively employed for hierarchical decision-making problems, where the upper level (UL) is constrained by the solutions of the lowe ...
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