Any AI agent will go above and beyond to complete assigned tasks, even breaking through their carefully designed guardrails.

When RL is paired with human oversight, teams can shape how systems learn, correct course when context changes, and ensure ...

A reinforcement learning environment is a fail-safe digital practice room where an agent can afford to make mistakes and learn from them without real-world consequences.

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...