Unverified50% confidenceFactExact time
Dense retrieval combined with ANN index technologies (such as HNSW and FAISS) can achieve millisecond-level recall across millions to billions of vectors.
1
Sources
50%
Confidence
Long-term
Relevance
8/31/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe parameter counts of current mainstream large models have generally reached the trillion level.67% similarUnverifiedThe model's context length reaches 1 million tokens.66% similarUnverifiedThe parameter scale of large language models has leaped from the hundreds of millions to the trillions.63% similarUnverifiedThe domestic tool supports context windows at the million-token level.62% similarUnverifiedSupernode computing power connects thousands to tens of thousands of GPUs/NPUs into a unified computing pool via high-speed interconnect networks, forming the necessary infrastructure for training large models with hundreds of billions to trillions of parameters.62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/828703API
curl https://kongchang.com/api/v1/knowledge/claims/828703MCP
get_claim(id=828703)