RL Environment
RL Environments and Agents
Custom RL environments and verifier design for training and evaluating agentic models.
Surge · 100% completeCompany-reported
Human evaluation programs for model quality, usefulness, safety, and subjective output characteristics.
Surge describes human evaluation as a managed capability for assessing qualities that automatic evaluations and academic benchmarks may not capture reliably.
Only evidenced capabilities are shown as Yes. Missing evidence remains Unknown.
Custom RL environments and verifier design for training and evaluating agentic models.
Custom rubric and verifier design for scoring complex model and agent behavior.
Human preference and reward data for reinforcement learning from human feedback.