[KongchangAI]
Unverified50% confidenceConceptExact time

MLA projects K and V into a latent vector space through low-rank joint compression, and at inference time only the compressed latent vectors are cached, compressing the KV cache several times over while maintaining expressive capability.

1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen

Sources

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https://kongchang.com/claim/1027763
API
curl https://kongchang.com/api/v1/knowledge/claims/1027763
MCP
get_claim(id=1027763)