Large language models (LLMs) significantly enhance efficiency by automating tasks, but their performance heavily depends on high-quality data. Effective data preprocessing—such as text cleaning, deduplication, and quality filtering—is crucial to ensure optimal model accuracy. Techniques like leveraging synthetic data generation
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Text processing pipelines and best practicesSynthetic data generationData processing for building sovereign LLMsImprove data quality with NVIDIA NeMo CuratorSort: