Unverified50% confidenceFactExact time
Before converting to ternary values, Prism ML applies a rotation matrix (orthogonal transformation) to smooth and disperse weight outliers so that the shared scale is more appropriate, an idea drawn from research such as BitNet and QuIP#.
1
Sources
50%
Confidence
Long-term
Relevance
10/4/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedPrismML的模型采用270亿参数全部同时激活的方式，而非稀疏架构65% similarUnverifiedFLUX、Stable Diffusion 3等新一代模型采用Transformer替代传统卷积网络，提升了对复杂提示词的语义理解能力和图像一致性61% similarUnverifiedML系统的可重复性需要同时管理数据版本、模型权重、超参数配置三个维度60% similarUnverifiedLarge generative models such as Stable Diffusion 3 and Meta's MovieGen have shifted to frameworks based on flow matching.59% similarUnverified旋转变换量化的理论基础是正交矩阵不改变模型数学等价性但能重新分布数值统计特性，用于搅匀离群值59% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/973447API
curl https://kongchang.com/api/v1/knowledge/claims/973447MCP
get_claim(id=973447)