Verifiers standardizes RL training environments

Verifiers addresses the "evaluation crisis" in LLM development by providing a standardized way to define reward functions and multi-turn trajectories. It simplifies custom RL environment creation through modular task datasets and model harnesses, while native multi-turn support facilitates the development of agentic models that require reasoning over multiple steps. Integration with the Environments Hub and tight coupling with prime-rl streamlines the entire pipeline from local TUI-based experimentation to large-scale distributed training.