6 min readDevelopmentFeatured
Deduplication, Decontamination, and Leakage
Learn how to identify and remove duplicate data and leaked benchmarks to ensure your LLM training data is clean, distinct, and reliable.
Part 3 · Dataset Engineering for LLMsTag
Read 3 articles on Data Quality by Ashish Srivastava — practical guides covering implementation patterns, security, and production lessons.
3 posts
Learn how to identify and remove duplicate data and leaked benchmarks to ensure your LLM training data is clean, distinct, and reliable.
Part 3 · Dataset Engineering for LLMsWhy high-quality, curated datasets outperform massive raw collections. A look at filtering techniques and the LIMA approach for efficient model training.
Part 1 · Dataset Engineering for LLMsLearn how to build effective supervised fine-tuning datasets. This guide covers instruction formatting, chat templates, loss masking techniques, and ensuring data quality for LLM training.
Part 5 · Fine-Tuning LLMs Hands-On