Source: DeepHub IMBA This article is approximately 4000 words long and is recommended to be read in 6 minutes. This article will explore Transformer, RNN, and Mamba 2. By exploring the potential connections between seemingly unrelated large language model (LLM) architectures, we may open new avenues for facilitating the exchange of ideas between different models … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university professors, and corporate researchers.The vision of the community is to promote communication and progress between the academic and industrial communities in natural language processing and machine learning, especially for beginners. Reprinted from | Machine … Read more
In the era following deep learning, the Transformer architecture has demonstrated its powerful performance in pre-trained large models and various downstream tasks. However, the significant computational demands of this architecture have deterred many researchers. To further reduce the complexity of attention models, numerous efforts have been invested in designing more efficient methods. Among these, the … 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
1 Introduction K-means and kNN may both start with ‘k’, but they are two different types of algorithms—kNN is a classification algorithm in supervised learning, while k-means is a clustering algorithm in unsupervised learning. The similarity between the two is that both utilize neighbor information to label categories. Clustering is a very important learning paradigm … Read more
Knowledge graphs have many applications, such as intelligent search, question-answering systems, recommendation systems, and information extraction. They can help people better organize and utilize vast amounts of knowledge, providing smarter and more personalized services. The concept of knowledge graphs originated in the field of artificial intelligence and is a technique used to represent and organize … Read more
The lung’s diffusion function is one of the most challenging physiological indicators to grasp!! First, we need to avoid the influence of lung ventilation, (See details in “Evaluation of Lung Ventilation Function“) We also need to avoid the influence of pulmonary blood flow, (See details in “Pulmonary Hypertension” and “Pulmonary Embolism” ) Finally, we must … Read more