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Large Language Model Pretraining and Training Corpus Quality

How large language models are pretrained on massive web-scraped text corpora, and why the composition and cleanliness of that data matters: redundant or near-duplicate documents waste compute, bias the model toward repeated content, and can leak evaluation data into training, so corpus curation directly affects model performance and cost.

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Building Large Language Models: Pre-training and Data Processing

Large Language Models (LLMs) operate within the domain of Natural Language Processing by leveraging autoregressive language modeling to define a probability distribution over token sequences through …