DatologyAI: High-quality data curation is the best compute multiplier
hurrycane · hn · 2026-10-09
DatologyAI published a blog post arguing that high-quality text curation is the best compute multiplier for LLM training: instead of adding more compute, carefully curating pretraining data delivers stronger models for the same budget. The post outlines their curation approach and supporting experimental results.
More from Infra
- Cadence announces sovereign AI cloud for European chip designers — karlfreund · 2026-10-23
- SGLang Deep-Dive Blog Series Breaks Down KV Cache, Posts up to 15.5x Throughput Gains — BanghuaZ · 2026-10-23
- DynaLM: Open-Source CPU-First LLM Inference Engine Seeks Feedback — Unlikely_Safety_7456 · 2026-10-23
- Capital Is Now the AI Buildout Bottleneck, Says Analyst Citing Jensen Huang — JOBhakdi · 2026-10-23
- DynaLM: an open-source CPU-first LLM inference engine seeks testers and feedback — Unlikely_Safety_7456 · 2026-10-23
- Cerebras explains how it deploys trillion-parameter models on wafer-scale chips — bookwormengr · 2026-10-23