Overview
In this part, we look into the current large language models, starting how their training consists of both pre-training and fine-tuning, followed by the surge of new large language models. We then discuss how the quality of language models can be evaluated, and what the recent trends in large language models are.
The chapters in this part are as follows.
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Pre-training and Fine-tuning introduces the concepts of pre-training and fine-tuning, which are key to the development of large language models.
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Abundance of Large Language Models discusses the emergence of a plethora of large language models, both big and small.
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Evaluating Large Language Models outlines how the quality of language models can be evaluated.
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Recent Trends in Large Language Models discusses the recent trends in large language models.