Belief rule-based inference systems represent a powerful framework for reasoning under multiple forms of uncertainty in complex decision-making contexts. Grounded in a hybrid of rule-based expert ...
Over the past several years, the lion’s share of artificial intelligence (AI) investment has poured into training infrastructure—massive clusters designed to crunch through oceans of data, where speed ...
The standard guidelines for building large language models (LLMs) optimize only for training costs and ignore inference costs. This poses a challenge for real-world applications that use ...
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