IEEE

Distilling Wisdom: A Review on Optimizing Learning From Massive Language Models

Abstract: In the era of Large Language Models (LLMs), Knowledge Distillation (KD) enables the transfer of capabilities from proprietary LLMs to open-source models. This survey provides a detailed ...
GitHub

verl: Volcano Engine Reinforcement Learning for LLMs

verl is a flexible, efficient and production-ready RL training library for large language models (LLMs). verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper.
IEEE

Inter-subject Variance Transfer Learning for EMG Pattern Classification Based on Bayesian Inference

Abstract: In electromyogram (EMG)-based motion recognition, a subject-specific classifier is typically trained with sufficient labeled data. However, this process demands extensive data collection ...
GitHub

Modernize your code solution accelerator

Welcome to the Modernize your code solution accelerator, designed to help customers transition their SQL queries to new environments quickly and efficiently. This accelerator is particularly useful ...