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Optimal platforms for preprocessing data for LLM

Optimal platforms for preprocessing data for LLM

AMD
Pages 10 Pages

This April 2025 paper discusses the rapid growth of large language models (LLMs) and the vast, diverse data required for training, including sources like web pages, social media, academic papers, and code repositories. It highlights tools such as Common Crawl and Dolma that preprocess these datasets, noting the highly parallelizable nature of their workloads. AMD’s advanced computing solutions support the efficient processing of such large-scale, data-intensive tasks, enabling accelerated training and development of LLMs critical for advancing AI capabilities.

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