Latest Articles for Parameters

A smaller yet powerful tool for Arabic language processing.

Rare four-top quark events unlock insights into fundamental physics.

Exploring evaluation issues in Explainable Artificial Intelligence and the quest for trust.

Learn how to make Large Language Models safer from harmful prompts.

Discover how AI models tackle coding challenges and their internal mechanics.

Discover self-test loss functions that improve model accuracy in science and engineering.

Discover how gradients improve neuron modeling in neuroscience.

ALoRE optimizes model training for efficient image recognition and broader applications.

A look into the behavior and applications of coupled harmonic oscillators.

A fresh approach to optimize data collection for non-linear models.

A new approach combines quantum computing and reinforcement learning for improved AI training.

Critiques of MSE and the rise of better statistical tools.

Learn how researchers tackle changing parameters in dynamic systems for better outcomes.

Explore how mutated hilltop inflation shapes our universe's early evolution.

Discover the vital role of attention heads in large language models.

Discover how the Ewens-Pitman model helps understand random group formations.

GeLoRA simplifies and cuts costs for fine-tuning large language models.

Discover how kinetic modeling transforms our understanding of biological processes.

Discover how small models make AI more accessible and efficient on everyday devices.

A new tool simplifies creating 3D models, boosting efficiency for artists and designers.

A look into unique solutions in mathematical functions and their symmetry.

jinns enhances physics-informed neural networks for diverse real-world applications.

Discover how PyBOP simplifies battery modeling and optimization.

Discover how KunServe improves interaction with large language models by enhancing memory management.

Explore the fascinating patterns formed by chemical reactions and their significance.

A deep dive into innovative computation models using RASMs and RASMPs.

Learn how Sparse PCA helps make sense of complex data.