This is an open collection of methodologies, tools and step by step instructions to help with successful training and fine-tuning of large language models and multi-modal models and their inference.

Abstract: Traditional industries face barriers to adopting robotic arms due to skill gaps and psychological concerns among workers. This work introduces a constraint-adaptive shared autonomy system to ...

Abstract: Machine degradation is a complex, dynamic and irreversible process and its modeling is a leading-edge technology in prognostics and health management (PHM). In recent years, machine learning ...