Unverified50% confidenceFactExact time
The research team used the scorer to score 322,250,000 FineWeb-Edu-Fortified documents and constructed a curated pre-training data mixture.
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe author reviewed approximately 1,500 detection calls, manually mined false positives, adjusted bounding boxes, and then retrained the model.69% similarUnverifiedEleutherAI的Pythia项目同时公开了训练数据、代码和完整检查点序列，包含从70M到12B参数的8个规模梯度模型，全部在相同的Pile数据集上以相同顺序训练，并公开了超过150个检查点68% similarUnverified半监督目标检测方法在COCO等基准上利用10%标注数据结合大量未标注数据，性能可接近全量监督训练水平68% similarVerifiedThe training data sources for specialized programming models include open-source code from GitHub, competitive programming solutions, technical documentation, and code review records, and the models are optimized for benchmarks such as HumanEval, MBPP, and SWE-bench.68% similarUnverifiedAI在实验中采用了标准科研流程：隔离20%数据作为内部测试集、训练集内部使用5折交叉验证、剔除重复记录，并横向对比随机森林、SVM、逻辑回归、梯度提升等多个算法68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/893230API
curl https://kongchang.com/api/v1/knowledge/claims/893230MCP
get_claim(id=893230)