TrainSDC: Characterizing and Mitigating Silent Data Corruption in Large Language Model Training
cs.LG
Submitted: 2026-08-31
Updated: 2026-08-31
Comments: 12 pages, 5 figures, and 6 tables. Includes an appendix with additional experiments
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model
- Exploring Silent Data Corruption as a Reliability Challenge in LLM Training
- Gemini: A Family of Highly Capable Multimodal Models
- Silent Data Corruptions at Scale
- The Llama 3 Herd of Models
- Qwen3 Technical Report
- A Study of BFLOAT16 for Deep Learning Training
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