Abstract: This paper reviews the evolution of Natural Language Processing (NLP) models, concentrating on the distillation techniques used to create efficient and compact versions of large models.
Previously, coding demanded extensive software and mathematical knowledge. Today, languages like Python are as simple to learn as new languages like English or French.
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