Unverified50% confidenceOpinionExact time
The magnitude of technical innovation between pre-trained models and fine-tuned models is entirely different.
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
Unverified使用开源预训练模型的权重与使用他人的私有训练数据是两件完全不同的事情72% similarUnverifiedThe phenomenon of smaller models outperforming larger ones suggests that the two companies may have trained independently at different scales, rather than taking the route of distilling large models into small ones.64% similarUnverified不同模型在抗诱导能力上的差异很大程度上源于后训练阶段(post-training)的策略差异63% similarUnverifiedIf pretraining efficiency improves by 10x, it would significantly lower the barrier to training frontier models, enabling more small and medium-sized teams, research institutions, and even independent developers to participate in foundational model development.63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/905744API
curl https://kongchang.com/api/v1/knowledge/claims/905744MCP
get_claim(id=905744)