These global models forecast for the entire global and have grid spacing of roughly ~10km Sft is often used for instruction finetuning, in which we want a pretrained language model to learn to follow text instructions, for example It is composed of states, transition scheme between states, and emission of outputs (discrete or continuous)
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Several goals can be accomplished by using markov models
Learn statistics of sequential data
Training in theory and models of supervision increases supervisor knowledge, and provides guidance for how to direct student learning, as well as how to understand the supervisee experience and development. Our selection of topics is intended to prepare the reader for a better understanding of applications and for further reading in topics such as mixed models, generalized linear models, and bayesian models.
