⚡MediumFine-Tuning & TrainingPREMIUM

Pre-training Data at Scale

Understand the end-to-end data pipeline for pre-training a foundation model, including crawling, deduplication, quality filtering, and data mixing.

What you'll master

Web crawl processing (Common Crawl)

Near-duplicate detection (MinHash, SimHash)

Quality filtering heuristics and classifiers

Data mixing ratios and curriculum

Tokenization and sequence packing

Locality-Sensitive Hashing (LSH)

Perplexity-based filtering

Chinchilla scaling laws for data

Synthetic data generation

PII and toxicity removal

Medium25 min readIncludes code examples, architecture diagrams, and expert-level follow-up questions.

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