Detailed Explanation of Attention Mechanism and Transformer in NLP

Detailed Explanation of Attention Mechanism and Transformer in NLP

Source | Zhihu Author | JayLou Link | https://zhuanlan.zhihu.com/p/53682800 Editor | Deep Learning Matters WeChat Public Account This article is for academic sharing only. If there is any infringement, please contact us to delete. This article summarizes the attention mechanism (Attention) in natural language processing in a Q&A format and provides an in-depth analysis of … Read more

Lightning Attention-2: Unlimited Sequence Lengths with Constant Compute Cost

Lightning Attention-2: Unlimited Sequence Lengths with Constant Compute Cost

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

Attention Mechanism Bug: Softmax’s Role in All Transformers

Attention Mechanism Bug: Softmax's Role in All Transformers

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

Attention Mechanism Bug: Softmax is the Culprit Affecting All Transformers

Attention Mechanism Bug: Softmax is the Culprit Affecting All Transformers

↑ 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

Understanding Q, K, V in Deep Learning Attention Mechanism

Understanding Q, K, V in Deep Learning Attention Mechanism

Follow the public account “ML_NLP“ Set as “Starred“, heavy content delivered immediately! From | Zhihu Author | lllltdaf Link | https://www.zhihu.com/question/325839123 Editor | Public Account of Machine Learning Algorithms and Natural Language Processing This article is for academic sharing only. If there is infringement, please contact the background for deletion. As someone who does CV, … Read more

Comprehensive Overview of Attention Mechanism

Comprehensive Overview of Attention Mechanism

Click the above to select Star or Top, delivering valuable content to you every day!! Reading will take about 12 minutes Follow the little blogger and make a little progress every day Author:CHEONG From: Machine Learning and Natural Language Processing 1. Understanding the Principle of Attention Mechanism Simply put, the Attention mechanism refers to the … Read more

Lightning Attention-2: Next-Gen Attention Mechanism for Long Sequences

Lightning Attention-2: Next-Gen Attention Mechanism for Long Sequences

Machine Heart Column Machine Heart Editorial Team Lightning Attention-2 is a new type of linear attention mechanism that aligns the training and inference costs of long sequences with those of a 1K sequence length. The limitation on sequence length in large language models significantly restricts their applications in artificial intelligence, such as multi-turn dialogue, long … Read more

First Published Foundation Model for SAR Image Target Recognition

First Published Foundation Model for SAR Image Target Recognition

Machine Heart released Machine Heart Editorial Department Synthetic Aperture Radar (SAR) is an active detection technology based on electromagnetic waves, providing all-weather, all-time ground observation capabilities. It has developed into an indispensable tool for ground observation, with significant applications in both military and civilian fields. Automatic Target Recognition (ATR) is the core issue of intelligent … Read more

Using CPU for Inference of Llama Structure Large Models

Using CPU for Inference of Llama Structure Large Models

1. Review of Llama Model Basics The Llama model is built on the Transformer architecture, featuring multiple layers of attention mechanisms that enable deep semantic analysis and feature extraction of input text. This allows it to excel in natural language processing tasks such as text continuation, summarization, and machine translation. Its design philosophy aims to … Read more

Must-See! Complete Collection of NLP Interview Questions (38)

Must-See! Complete Collection of NLP Interview Questions (38)

Hello everyone! I am very glad to have the opportunity to share with you common interview questions in the field of Natural Language Processing (NLP). As an important branch of artificial intelligence, NLP has developed rapidly in recent years and has a wide range of applications in various industries. Familiarity with these interview questions can … Read more