Comprehensive Overview of Attention Mechanisms

Comprehensive Overview of Attention Mechanisms

1. Understanding the Principle of Attention Mechanism The Attention mechanism, in simple terms, refers to the output y at a certain moment and its attention on various parts of the input x. Here, attention represents weights, indicating the contribution of each part of the input x to the output y at that moment. Based on … Read more

Applications of Attention Mechanism in Natural Language Processing

Applications of Attention Mechanism in Natural Language Processing

In recent years, research in deep learning has become increasingly in-depth, achieving many groundbreaking advances in various fields. Neural networks based on the attention mechanism have become a hot topic in recent neural network research. I have also recently studied some papers on neural networks based on the attention mechanism in the field of Natural … Read more

In-Depth Explanation of Attention Mechanism and Transformer in NLP

In-Depth Explanation of Attention Mechanism and Transformer in NLP

Follow the public account “ML_NLP“ Set as “Starred“, heavy content delivered promptly! From | Zhihu Author | JayLou Link | https://zhuanlan.zhihu.com/p/53682800 Editor | Deep Learning Matters public account This article is for academic sharing only. If there is any infringement, please contact us to delete it. This article summarizes the attention mechanism in natural language … Read more

Rethinking the Attention Mechanism in Deep Learning

Rethinking the Attention Mechanism in Deep Learning

↑ ClickBlue Text Follow the Jishi Platform Author丨Cool Andy @ Zhihu Source丨https://zhuanlan.zhihu.com/p/125145283 Editor丨Jishi Platform Jishi Guide This article discusses the Attention mechanism in deep learning. It is not intended to review the various frameworks and applications of the Attention mechanism, but rather to introduce four representative and interesting works related to Attention and provide further … Read more

Understanding Attention Mechanism and Its PyTorch Implementation

Understanding Attention Mechanism and Its PyTorch Implementation

Click the “MLNLP” above to select the “Star” public account. Heavyweight content delivered to you first. From | Zhihu Author | Lucas Address | https://zhuanlan.zhihu.com/p/88376673 Column | Deep Learning and Sentiment Analysis Editor | Machine Learning Algorithms and Natural Language Processing Understanding Attention: The Attention Mechanism and Its PyTorch Implementation Biomimetic Brain Attention Model -> … Read more

AI Travel Assistant Built on LangGraph: AI-Travel-Agent

AI Travel Assistant Built on LangGraph: AI-Travel-Agent

An AI travel assistant built on LangGraph: ai-travel-agent, which can search for flights, book hotels, and organize itineraries to email you. It has a memory capability, able to remember user interaction history and continue from where the last conversation left off. It adopts a human-machine collaboration model, allowing users to control key operations, such as … Read more

Overview of LangGraph Technology

Overview of LangGraph Technology

LangGraph is an innovative Graph Neural Network (GNN) technology designed to address the complex relationship modeling challenges in Natural Language Processing (NLP) tasks. Traditional NLP models often treat text data as linear sequences, overlooking the intricate relationships between entities within the text. In contrast, LangGraph constructs a graph structure to represent the entities and their … Read more

Comprehensive Analysis of Doubao AI Mini Program Entry

Comprehensive Analysis of Doubao AI Mini Program Entry

In this rapidly developing digital age, artificial intelligence (AI) has permeated every aspect of our lives. With the continuous advancement of AI technology, AI mini programs have become an indispensable part of people’s lives due to their convenience and efficiency. So, what exactly is the Doubao AI mini program? How can it be easily used … Read more

Mastering RAG Series 2: Query Translation Techniques

Mastering RAG Series 2: Query Translation Techniques

LLM (Large Language Model) is a powerful new platform, but they are not always trained on data that is relevant to our tasks or the most recent data. RAG (Retrieval Augmented Generation) is a general method that connects LLMs with external data sources (such as private data or the latest data). It allows LLMs to … Read more