Unverified50% confidenceBenchmarkExact time
AMM was tested once on held-out bbob instances 101-110 (D=2-40, budgets 10*D to 1000*D) against up to seven competitors; across 600 function-dimension-budget cells, AMM had the highest objective share in 382 cells (236 outright, 146 tied).
1
Sources
50%
Confidence
Long-term
Relevance
11/5/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAMM conducted a pre-registered development loop on the bbob benchmark, and 32 of 36 predictions held in the subsequent 16 confirmations.66% similarUnverifiedOn a stratified 1,000-item test subset, the strongest LLM prompting configuration achieved an accuracy of 0.477, while the fine-tuned DistilBERT reached 0.879.61% similarUnverifiedIn the official benchmark test, Bifrost consumed 120 MB of memory with a 100% success rate, while LiteLLM consumed 372 MB with an 88.78% success rate.60% similarUnverifiedLFM2.5-24B-A2B has 24 billion total parameters and uses an MoE architecture with 64 experts per block, Top-4 dynamic routing, and only 2.45 billion parameters activated per token.60% similarUnverified千问三235B MoE总参数量2350亿,但每次推理实际激活的参数约22B60% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1138905API
curl https://kongchang.com/api/v1/knowledge/claims/1138905MCP
get_claim(id=1138905)