Unverified70% confidenceFactExact time
The parameter count of frontier models has jumped from GPT-3's 175 billion to the trillion-parameter level, and they are typically based on the Transformer architecture.
2
Sources
70%
Confidence
Long-term
Relevance
9/6/2026
First Seen
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VerifiedFrom GPT-2 to GPT-3, the parameter count increased from 1.5 billion to 175 billion, and OpenAI's 2020 paper demonstrated that scaling up parameter size can bring about qualitative emergent capabilities.78% similarUnverifiedGPT-2到GPT-3参数量从15亿提升到1750亿，是Scaling Law驱动的代际突破78% similarUnverifiedGPT-3 首次证明当模型参数量突破千亿级别时代码理解和生成能力出现质的飞跃，被称为「涌现能力」76% similarUnverifiedGPT-3拥有1750亿参数，用进化策略进行有效采样所需的函数评估次数随参数维度呈指数级增长（维度灾难）76% similarUnverifiedLarge models such as GPT-3 have dozens of layers and parameter counts reaching hundreds of billions, with a core structure that is the repeated stacking of the Decoder layer pattern75% similar
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