Trillion-Parameter RL Paper: Allowing the Model to Discover Workflows
The Ring-Zero paper explores a trillion-parameter RL model's ability to discover workflows autonomously.
A new arXiv paper, Ring-Zero, presents a 1T-parameter reinforcement learning model trained without human-written reasoning examples. Its significance lies in the shift of reasoning engineering from manual behavior to training dynamics, indicating a new frontier in AI development.