**新一代序列建模架构Mamba-2正式发布，训练效率与创新性能大幅跃升**
近日，备受瞩目的新一代序列建模架构Mamba-2正式发布，并成功入选ICML 2024。该架构由资深科研人员Albert Gu和Tri Dao共同研发，融合了Transformer和状态空间模型（SSM）的精髓，提出了结构化状态空间二元性（SSD）理论框架，实现了两大主流序列建模架构的统一。
Mamba-2的创新不仅在于理论层面，更在于其实际应用中的显著成效。在扩大状态空间至原来的8倍的同时，Mamba-2的训练速度提升了50%，为业界带来了革命性的突破。更为引人注目的是，拥有3B参数规模的Mamba-2在300B tokens的训练中表现出色，超越了同等规模的Mamba-1以及其他主流序列建模架构。
专家分析认为，Mamba-2的出色表现尤其是在需要更大状态容量的任务上，预示着其在自然语言处理、语音识别等领域的巨大潜力。此次发布的新架构将极大推动序列建模技术的发展，并有望为相关行业带来更为广泛的应用和深远的影响。
此次Mamba-2的成功发布标志着科研人员在序列建模领域的又一重要突破，未来，我们期待看到更多创新技术在此领域的应用与探索。
英语如下：
News Title: “Mamba-2 New Architecture Stunning Release: Training Efficiency Soars, ICML 2024 Weighty Choice!”
Keywords: Mamba 2 release, training efficiency improvement, architecture upgrade
News Content: **New Generation Sequence Modeling Architecture Mamba-2 Officially Launched, with Significant Improvement in Training Efficiency and Innovative Performance**
Recently, the highly anticipated new generation sequence modeling architecture Mamba-2 was officially launched and successfully selected for ICML 2024. This architecture was jointly developed by senior researchers Albert Gu and Tri Dao, which integrates the essence of Transformer and State Space Model (SSM), and proposes the Structured State Space Duality (SSD) theoretical framework to unify the two major sequence modeling architectures.
Mamba-2’s innovation is not only at the theoretical level, but also in its remarkable practical results. While expanding the state space to 8 times its original size, Mamba-2 has improved training speed by 50%, bringing a revolutionary breakthrough to the industry. What’s more noteworthy is that Mamba-2, with a parameter scale of 3B, demonstrates superior performance in training with 300B tokens, surpassing Mamba-1 with the same scale and other mainstream sequence modeling architectures.
Expert analysis believes that Mamba-2’s excellent performance, especially in tasks that require larger state capacity, indicates its enormous potential in natural language processing, speech recognition, and other fields. This newly released architecture will greatly promote the development of sequence modeling technology and is expected to bring more extensive applications and profound impacts to related industries.
The successful release of Mamba-2 marks another important breakthrough in sequence modeling by researchers. In the future, we look forward to seeing more innovative technologies applied and explored in this field.
【来源】https://www.qbitai.com/2024/06/149893.html
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