Nemotron-Terminal: Scaling LLM Terminal Skills скачать в хорошем качестве

Nemotron-Terminal: Scaling LLM Terminal Skills

In this AI Research Roundup episode, Alex discusses the paper: 'On Data Engineering for Scaling LLM Terminal Capabilities' Alex explores a new systematic study focused on enhancing how LLMs navigate command-line environments. The authors present Terminal-Task-Gen, a pipeline that combines dataset adaptation with synthetic task generation to scale training volume and quality. This methodology resulted in the Nemotron-Terminal model family, which shows significant proficiency in executing terminal-based tasks. By utilizing Docker-based sandboxes and teacher models, the research creates high-quality trajectories across diverse domains like networking and file management. This work addresses the transparency gap in developing capable terminal-based agents. Paper URL: https://arxiv.org/abs/2602.21193 #AI #MachineLearning #DeepLearning #LLM #DataEngineering #TerminalAgents #CommandLine #Nemotron