Unverified60% confidenceFactExact time
Emergent capabilities typically begin to manifest after a model's parameter scale breaks through the threshold of billions
2
Sources
60%
Confidence
Long-term
Relevance
7/10/2026
First Seen
Sources
提示词工程入门：原理、方法与实战案例全解析
bilibili大模型零基础入门_6/30/2026
Related Claims
Unverified涌现能力指大模型某些能力在特定参数量阈值后突然出现，由Wei et al. 2022年论文系统记录77% similarVerifiedEmergent ability refers to the phenomenon where, once a model's scale exceeds a certain critical threshold, certain previously absent capabilities suddenly appear and performance undergoes a sharp leap.77% similarUnverifiedWhen model scale exceeds a certain threshold, certain capabilities suddenly jump from near zero to a significant level, rather than growing linearly with parameter count.73% similarUnverifiedEmergent abilities refer to the phenomenon where large models suddenly exhibit capabilities that smaller models do not possess after reaching a certain scale threshold, a phenomenon systematically documented by a Google research team in 2022.72% similarUnverifiedThe single forward inference latency of a 1-billion-parameter model on modern GPUs is typically in the single-digit millisecond range, whereas hundred-billion-parameter large models may reach tens of milliseconds or higher even after quantization optimization.71% similar
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