IEEE

Synthetic Data Generation Using Large Language Models: Advances in Text and Code

Abstract: This survey reviews how large language models (LLMs) are transforming synthetic training data generation in both natural language and code domains. By producing artificial but task-relevant ...
IEEE

FPGA IP Core for DC Motor Control With Adaptive Neural Network PID Tuning, and High-Resolution Encoder Interface

Abstract: Traditional proportional integral derivative (PID) falls short for precise control of DC motor speed under changing conditions. This paper presents a novel FPGA based IP (intellectual ...