A Guide to Developing Large Language Models: Pretraining
SMRTR summary
Large language models like ChatGPT are built using five key components: architecture, training algorithms, data, evaluation, and systems. Development involves pretraining for language modeling and post-training for alignment with user needs. This overview focuses on pretraining, covering language modeling, evaluation methods, data preparation, scaling laws, and practical considerations. Understanding these aspects provides insight into the complexity and resources required to create advanced AI language models.
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