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南加州大学的研究团队近期发布了一项最新研究成果，揭示了OpenAI未公开的GPT-3.5-turbo模型的嵌入向量维度。据研究，该模型的嵌入向量维度可能为4096或4608。这一发现引起了业界的广泛关注，因为已知的开源大型语言模型，如Llama和Mistral，在嵌入向量维度为4096时，其参数规模大约为70亿。
研究团队通过深入分析模型架构和性能，推断出GPT-3.5-turbo的参数规模也可能在70亿左右。这一结论是基于对模型宽度和窄度的合理控制，以避免对模型性能产生不利影响。团队指出，除非采用MoE（Mixture of Experts）架构，否则参数规模不会显著不同。
量子位报道了这一研究进展，指出这一发现对于理解GPT-3.5-turbo的能力和局限性具有重要意义。随着AI模型的发展，对模型参数规模的准确评估对于优化模型性能和资源使用效率至关重要。南加大团队的研究为AI开发者提供了宝贵的参考信息。
【来源】https://mp.weixin.qq.com/s/y0RQ0aOrHGLzLJKxbyGxMw
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