Expired65% confidenceBenchmarkExact time
In the test case, the cache hit rate reached as high as 99.7%, with nearly 39 million tokens out of approximately 40 million tokens generated hitting the cache.
3
Sources
65%
Confidence
Short-term (~14 days)
Relevance
9/15/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 9/29/2026(expired)
Sources
Related Entities
Related Claims
Unverified应用次日留存率超过40%通常被认为是优质应用的基准线64% similarUnverifiedIn the same reproduction experiment, ResNet-20 achieved a test accuracy of 90.4% and ResNet-56 achieved a test accuracy of 91.7%, with training accuracies of 97.4% and 99.0% respectively.64% similarUnverifiedResearch shows that the retention rate for automatic renewals is 30%–50% higher than for manual renewals.64% similarUnverifiedAfter 15 training epochs on the demonstration dataset, the text classification model achieves an accuracy of 99%, with a total of 110,000 model parameters (16,000 for Attention, 33,000 for FFN, and the remainder for Embedding)64% similarUnverifiedIn the experiments, the task resolution rate was 17% for zero-shot generation, 27% for generic self-correction, 23% for error-only feedback, and 90% for diagnostic counterexample feedback (A-CEGIS).63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/923843API
curl https://kongchang.com/api/v1/knowledge/claims/923843MCP
get_claim(id=923843)