I've been thinking about the potential utility of Language Model ( LLM ) applications in the field of Hydrology. Understanding requires delving into relevant literature and gaining a deep knowledge of how the statistical principles behind LLM operate (because they are statstical tools). The Wikipedia link above, on serves as an initial source of information, offering some foundational understanding. But let's say that people working on the topics were rediscovering from a different point of view things already known and relabeling them according to a new jargoon.
For restablishing a little of reasonable context, I would delve into Cosma Shalizi's opinion to gain deeper insights. Careful reading and analysis ad zoom back to recover missing information is necessary to grasp the nuances. However, reading Percy Liang, lecture notes for CS324, Large Language Models (Stanford) [especially looking to "Introduction", "Modeling" and "Training"] is a definitive settlement of the matter.
Next, I turn to a valuable resource: a work in progress authored by Sebastian Raschka. This book promises practical exercises to fixing the knowledge, albeit still in development.
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