<ul><li>Training a large language model is like teaching someone how to speak and behave.</li><li>The process of training can be broken down into three stages: self-supervised pre-training, supervised fine-tuning, and reinforcement learning from human feedback.</li><li>In the pre-training stage, the model learns by reading a large amount of text and predicting the next word in a sentence.</li><li>In the fine-tuning stage, the model is guided to mimic correct answers and examples, similar to a child being taught proper behavior.</li></ul>

Decoding the Magic: How Machines Master Human Language

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