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 ...
Python 3.13.5 lands as a timely, focused maintenance release. It patches critical regression bugs from 3.13.4, carries ...
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 ...
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