Over 200 star enterprises and 20 top investors from renowned investment institutions participated! “New Intelligence Growth List” aims to discover innovative companies in the AI field with “tenfold growth in three years“, will the next wave of AI unicorns include you? Click read the original text for details! According to Lei Feng Network: Artificial intelligence … Read more
Big Data Digest authorized reprint from AI Technology Review Authors: Li Mei, Huang Nan Editor: Chen Caixian In the past decade, deep learning has achieved remarkable victories, with methods using large parameters and data through stochastic gradient descent proven effective. The gradient descent typically uses the backpropagation algorithm, which has led to ongoing questions about … Read more
On January 24, at the “New Architecture, New Model Power” large model launch conference held by Shanghai Yanxin Intelligent AI Technology Co., Ltd., Yanxin officially released the first general-purpose natural language large model in China that does not use the Attention mechanism—Yan model. As one of the few non-Transformer large models in the industry, the … Read more
Lightning Attention-2 is a novel linear attention mechanism that aligns the training and inference costs of long sequences with those of a 1K sequence length. The limitations on sequence length in large language models significantly constrain their applications in artificial intelligence, such as multi-turn dialogue, long text understanding, and the processing and generation of multimodal … Read more
The attention mechanism can be likened to how humans read a book. When you read, you don’t treat all content equally; you may pay more attention to certain keywords or sentences because they are more important for understanding the overall meaning. Image: Highlighting key content in a book with background colors and comments. The role … Read more
The following article is sourced from WeChat public account: Xiao Bai Learning Vision. Author: Xiao Bai Learning Vision Editor: Machine Heart Link:https://mp.weixin.qq.com/s/qaAnLOaopuXKptgFmpAKPA This article is for academic sharing only. If there is any infringement, please contact the backend for deletion. Introduction This article introduces a bug in the attention formula in machine learning, as pointed … Read more
↑ ClickBlue Text Follow the Jishi Platform Source丨Machine Heart Jishi Guide “Big model developers, you are wrong.”>> Join the Jishi CV technology group to stay at the forefront of computer vision. “I found a bug in the attention formula that no one has discovered for eight years. All Transformer models, including GPT and LLaMA, are … Read more
Abstract： In humans, attention is a core attribute of all perceptual and cognitive operations. Given our limited capacity to process competitive sources of information, the attention mechanism selects, adjusts, and focuses on information most relevant to behavior. For decades, the concept and function of attention have been studied across philosophy, psychology, neuroscience, and computer science. … Read more
[Introduction]The Attention mechanism originates from mimicking human thinking patterns and has been widely applied in machine translation, sentiment classification, automatic summarization, automatic question answering, dependency analysis, and other machine learning applications. The editor has compiled a review on the application of Attention mechanisms in NLP titled An Introductory Survey on Attention Mechanisms in NLP Problems, … Read more
Illustration of AI Software Assisting Cervical Cytology Image Analysis AI software tools assist in cervical cytology image analysis, improving early disease detection accuracy and efficiency through deep learning, expanding screening services. Currently, researchers are further addressing challenges such as data standardization (across different races and ages), ethics, interpretability, and follow-up validation. The application of AI-assisted … Read more