Unverified50% confidenceOpinionExact time
GCD does not require retraining the model, and its deployment cost is far lower than that of adversarial training-type solutions.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe model did not use any pretrained weights during training.70% similarUnverifiedAdjusting the harness requires no GPU training, iteration cycles are measured in hours, and costs are far lower than fine-tuning model weights.69% similarUnverifiedCompared with retraining a model, the knowledge base approach does not require annotated data or GPU compute; it only requires uploading documents and configuring a retrieval strategy, so it is low-cost and quick to show results.67% similarUnverifiedZhipu did not retrain the model base, but retained GLM-5.2's base and only expanded and reinforced it during the post-training phase.66% similarUnverifiedDuring LRCC training, the low-rank factors remain frozen and only the router is optimized, reducing training cost.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1023779API
curl https://kongchang.com/api/v1/knowledge/claims/1023779MCP
get_claim(id=1023779)