Results for “piloterr”

Automate multi-turn adversarial conversations against LLM agents using Microsoft PyRIT, including Crescendo and Tree-of-Attacks-with-Pruning (TAP) attack chains with scorer feedback loops.

Train reinforcement learning agents at millions of steps per second using optimized PPO, vectorized environments, and multi-agent support.