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 ...
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 ...
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 ...
Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...
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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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 Zelensky makes major concession to ...
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