⚡MediumFine-Tuning & TrainingPREMIUM

Pre-training Data at Scale

Understand the complete data pipeline for pre-training a foundation model, including crawling, deduplication, quality filtering, data mixing, sequence packing, data annealing, and synthetic data generation.

What you'll master

Web crawl processing (Common Crawl)

Near-duplicate detection (MinHash, SimHash)

Quality filtering heuristics and classifiers

Data mixing ratios and curriculum

Sequence packing (bin packing)

Locality-Sensitive Hashing (LSH)

Perplexity-based filtering

Chinchilla scaling laws for data

Synthetic data generation and model collapse prevention

Data annealing and best-fit packing

PII and toxicity removal

Benchmark decontamination (n-gram filtering)

Medium35 min readIncludes code examples, architecture diagrams, and expert-level follow-up questions.

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