Unverified50% confidenceOpinionExact time
Calling a large language model directly during online inference makes latency and cost almost infeasible in risk control scenarios.
1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
Related Entities
Related Claims
Verified大语言模型推理的瓶颈往往不在计算能力，而在于内存带宽78% similarVerifiedLarge language models are essentially probabilistic text generation systems, lacking the ability to verify external systems in real time, and produce hallucinations when input documents are ambiguous or incomplete.69% similarVerifiedLarge language models are prone to forgetting early information or hallucinating during long conversations, which in programming manifests as fabricating non-existent APIs or generating logically incorrect code.69% similarUnverifiedContinuous spatiotemporal tokens provide large language models with the necessary physical grounding, as textual descriptions alone are insufficient to support feeding decisions.68% similarUnverifiedLarge language models are fundamentally probabilistic text prediction models that lack spatial geometric reasoning capabilities, making it difficult to guarantee non-overlapping nodes and non-crossing arrows.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1013349API
curl https://kongchang.com/api/v1/knowledge/claims/1013349MCP
get_claim(id=1013349)