Unverified50% confidenceOpinionExact time
现实中80%的 ML 工作量花在数据处理而非模型训练上
1
Sources
50%
Confidence
Long-term
Relevance
8/6/2026
First Seen
Sources
Related Claims
VerifiedIn actual machine learning projects, data preprocessing typically accounts for 60%–80% of the workload.74% similarUnverifiedIn practice, modeling may account for only 20% of an ML engineer's workload, with the remaining 80% devoted to data pipelines, feature engineering, deployment and operations, and iterative optimization.71% similarUnverified80% of the success or failure of fine-tuning depends on data quality, and data preparation typically accounts for 60%–70% of the total project workload.70% similarUnverified大模型的推理成本与参数量大致成正比，而实际业务中约80%的任务可以由中小规模模型胜任68% similarUnverifiedWeaker models are suitable for completing 80% of the work, but the final 20% of fine-grained debugging often requires the involvement of stronger models.68% similar
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