Unverified50% confidenceFactExact time
GPT系列、LLaMA等大语言模型参数量级已达数千亿，内部决策路径几乎无法用人类可理解的语言完整描述
1
Sources
50%
Confidence
Long-term
Relevance
7/20/2026
First Seen
Sources
Related Claims
UnverifiedMainstream large models such as the GPT series, LLaMA, and DeepSeek are all built on the autoregressive language model paradigm.75% similarPartially VerifiedThe GPT series, LLaMA, and Qwen are all Large Language Models74% similarUnverifiedGPT-4-level large language models have hundreds of billions of parameters and require billions of floating-point operations on high-end GPUs (such as NVIDIA A100/H100) for each response.74% similarVerifiedRepresentative large language models such as GPT-4, Claude, and Gemini typically have parameter counts in the hundreds of billions or more.74% similar
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