Verified65% confidenceFactExact time
模型漂移通常分为数据漂移和概念漂移两类，数据漂移指输入数据统计分布随时间变化，概念漂移指输入与输出关系本身发生变化
3
Sources
65%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
AI System Retroactive Changes Trigger a Trust Crisis: The Core Challenges of Transparency and Auditability
redditr/GoogleGeminiAI7/10/2026
Related Claims
UnverifiedIn machine learning theory, data distribution shift is subdivided into three categories: covariate shift, label shift, and concept drift79% similarVerifiedModel drift refers to the decline in model prediction quality caused by changes in the distribution of input data in the production environment over time.74% similarUnverified概念漂移（Concept Drift）指输入变量与目标变量之间的映射关系本身发生变化71% similarUnverifiedModel Drift refers to changes over time in the actual behavior of a model under the same model name, and similar situations have occurred multiple times with models from OpenAI, Google, and other companies.70% similarVerifiedTransfer learning refers to migrating model parameters pre-trained on large-scale datasets to a specific small-sample task for fine-tuning.67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/491534API
curl https://kongchang.com/api/v1/knowledge/claims/491534MCP
get_claim(id=491534)