Journal of Public Administration Research and Theory: J-PART, Vol. 11, No. 1 (Jan., 2001), pp. 3-27 (25 pages) This article focuses on the role of scientific inference in the study of bureaucracy. Its ...

Inference of model parameters is one step in an engineering process often ending in predictions that support decision in the form of design or control. Incorporation of end goals into the inference ...

THE first duty of a reviewer is to say what his book is about ; but that is not easy here. The title suggests to a British reader that the work will be cognate with that of Harold Jeffreys and with ...

The algorithms are actually looking for patterns to identify the two-dimensional pictorial properties of a polar bear. A nose here, eyes over there, four legs, snout, some fuzzy white hump of fur in ...

If the only thing you really know to date about machine learning chip startup, Groq, is that it is led by one of the creators of Google’s TPU and that will target inference, don’t worry, you didn’t ...

As frontier models move into production, they're running up against major barriers like power caps, inference latency, and rising token-level costs, exposing the limits of traditional scale-first ...

You train the model once, but you run it every day. Making sure your model has business context and guardrails to guarantee reliability is more valuable than fussing over LLMs. We’re years into the ...