Pretraining Pipelines Trend 2026

Pretraining pipelines automate the crucial first step of training large language models: processing vast text corpora. They handle data cleaning, tokenization, and sequence formatting, enabling efficient scaling. AI researchers and machine learning engineers use these pipelines to build foundational models, while downstream developers benefit from more robust, pre-trained base models for fine-tuning.