Low‑Carbon ML Training Cookbook

For {{model_family}} training on {{hardware}}: - Estimate energy/emissions baseline - Apply: low-rank adapters, distillation, AMP, token pruning, data curation - Carbon-aware job placement Provide a table of expected savings and quality checks.

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Author: Tsubasa Kato

Model: gpt-5-thinking

Category: mlops

Tags: ML-training, optimization, carbon, efficiency, GPU

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