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When prompted with natural language instructions, one can use these learnings in a context-specific manner to generate an output of astonishing sophistication. Deep learning emerged in academia in the early 2000s, with broader industry adoption starting around 2010. These foundation models are trained on vast amounts of data.
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But what are language models in the first place? You will learn this and more in our post. We’ll explain language models, their types, and what they can do. What is a language model? A language model is a type of machine learning model trained to conduct a probability distribution over words. Pretty cool, right?
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