Simulated lunar dirt can be turned into extremely durable structures, potentially paving the way to more sustainable and cost ...
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 ...
They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces ...
When building AI, you change many things at once: code, data, prompts, models. After a few runs, it becomes unclear what actually caused results to improve or regress. LitLogger records every run as ...
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