IEEE

A Scalable ANN-Based Large-Signal Model for GaN HEMTs Using Transfer Learning

Abstract: Traditional linear scaling artificial neural network (ANN)-based compact models face significant challenges in achieving high accuracy for device modeling. To overcome this limitation, a ...
GitHub

Flash Attention with Sink — GPT-OSS 20B Attention Implementation

flash-attention-with-sink implements an attention variant used in GPT-OSS 20B that integrates a "sink" step into FlashAttention. This repo focuses on the forward path and provides an experimental ...
IEEE

Comparative Performance of ANN Predicting Soybean Yields from NDVI: Execution Time and CPU Usage in C and Python

Abstract: Artificial Neural Networks (ANNs) are a widely used and powerful tool for modeling and predicting various processes across society, industry, and nature. In recent decades, ANNs have found ...
marktechpost

A Coding Implementation to Establish Rigorous Prompt Versioning and Regression Testing Workflows for Large Language Models using MLflow

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...