RULER (Relative Universal LLM-Elicited Rewards) eliminates the need for hand-crafted reward functions by using an LLM-as-judge to automatically score agent trajectories. Simply define your task in the ...

UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...

In just five steps, you can transform an ordinary coconut into rich, silky milk perfect for curries, smoothies, baking or ...

Explore emerging attack methods, evolving AI-driven threats, supply chain risks, and strategies to strengthen defenses and ...