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 ...

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Outside talent shifts how companies think about budgets and delivery. Engaging external providers for Python development, ...

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 ...

AI is increasing both the number of pull requests and the volume of code within them, creating bottlenecks in code review, ...