Unverified50% confidenceFactExact time
A pretraining data pipeline typically includes eight steps: crawling, extraction, filtering, deduplication, heuristic rules, model filtering, mixing ratios, and the final stage (high-quality data paired with a decaying learning rate).
1
Sources
50%
Confidence
Long-term
Relevance
10/17/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedA pre-trained model refers to a model that has been trained in advance on large-scale datasets, which users can directly fine-tune or call to complete specific tasks.76% similarUnverified训练秘诀（Training Recipe）包括数据配比策略、学习率调度曲线、过滤规则、对齐技术等，往往比模型架构本身更难被复现75% similarUnverified训练数据在输入模型前会经过严格的去重、过滤和质量筛选，低质量内容、重复文本、有害内容会被剔除74% similarUnverifiedLarge model training involves multiple stages including data cleaning, annotation, alignment, and safety fine-tuning73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1051001API
curl https://kongchang.com/api/v1/knowledge/claims/1051001MCP
get_claim(id=1051001)