This article is authorized for reprint by AI New Media Quantum Bit (Public Account ID: qbitai). Please contact the source for reprinting. This article is approximately 1200 words long and is recommended for a 5-minute read. This article introduces the hybrid model Jamba. Exciting news! The first real expansion of the Mamba architecture has finally … Read more
Author: Kuang Ji Reviewed by: Los In the field of deep learning, sequence modeling remains a challenging task, typically addressed by models such as LSTMs and Transformers. However, these models have substantial computational costs, leading to significant drawbacks in practical applications. Mamba is a linear time series modeling framework designed to improve the efficiency and … Read more
Source: Machine Heart This article is about 5400 words, and it is recommended to read for more than 10 minutes. Mamba is promising, but its development is still in the early stages. There are many deep learning architectures, but in recent years, none have been as successful as the Transformer, which has established its dominance … Read more
Source: Algorithm Advancement This article is approximately 4100 words and is recommended to be read in 8 minutes. LongLLaVA performs excellently in long-context multimodal understanding. The authors of this article come from The Chinese University of Hong Kong, Shenzhen, and the Shenzhen Big Data Research Institute. The first authors are PhD student Wang Xidong and … Read more
Follow our public account to discover the beauty of CV technology This article is reprinted from Machine Heart. The key to the tremendous success of the Transformer in deep learning is the attention mechanism. The attention mechanism allows Transformer-based models to focus on parts of the input sequence that are relevant, achieving better contextual understanding. … Read more
MLNLP community is a well-known machine learning and natural language processing community in China and abroad, covering NLP master’s and doctoral students, university teachers, and researchers from enterprises. The Community’s Vision is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning at home and abroad, especially … Read more
Follow the public account to discover the beauty of CV technology This article is reprinted from Machine Heart, edited by Panda W. Transformers are powerful but not perfect, especially when dealing with long sequences. State Space Models (SSMs) perform quite well on long sequences. Researchers proposed last year that SSMs could replace Transformers, as seen … Read more
The Transformer architecture has become a major component of the success of large language models (LLMs). To further improve LLMs, new architectures that may outperform the Transformer architecture are being developed. One such approach is Mamba, a state space model. The paper “Mamba: Linear-Time Sequence Modeling with Selective State Spaces” introduces Mamba, which we have … Read more
Big Data Digest Authorized Reprint from Leading Technology Author丨Congerry Transformer Challenged! In June 2017, eight Google researchers published a groundbreaking paper titled “Attention is All You Need”. It is called groundbreaking because this paper proposed a new neural network architecture – the Transformer, which opened a new era of generative artificial intelligence and large models. … Read more
Feng Se from Aofeisi Quantum Bit | Public Account QbitAI Exciting news! The first project to truly scale the popular Mamba architecture to a sufficiently large size has arrived. 52 billion parameters, still using the Mamba+Transformer hybrid architecture. Its name is Jamba. By taking the strengths of both architectures, it achieves both model quality and … Read more