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 ...
Tech Times

Compile Once, Run Offline: New AI Method Matches 32B Models With a 23MB File

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...
IEEE

Multi-objective optimization using few-shot hybridization network for numerical control machining

Abstract: Optimizing the machining parameters can improve the product quality and reduce processing costs.This work proposes a hybrid network (PPO-XGB) integrating reinforcement learning (PPO) and ...