Understanding NLP Therapy: A Step-by-Step Guide

Understanding NLP Therapy: A Step-by-Step Guide

In daily life, when we encounter emotional troubles or face difficulties in relationships, we can try to use the Five-Step Reframing Method. Step 1: Describe the current dilemma. For example: “I cannot communicate well with my boyfriend/girlfriend.” Step 2: Rewrite the narrative. For instance: “So far, I have not been able to coexist harmoniously with … Read more

Creating Intelligent Textbooks Using Knowledge Graphs: A Comprehensive Guide for the New Era of Education

Creating Intelligent Textbooks Using Knowledge Graphs: A Comprehensive Guide for the New Era of Education

In the digital age, the education sector is undergoing a profound transformation. With the continuous development of artificial intelligence technology, knowledge graphs have become an important tool for developing intelligent textbooks. This article will provide a detailed introduction on how to use knowledge graphs to build intelligent textbooks, offering comprehensive guidance for educators and technology … Read more

Step-By-Step Guide to Text Classification in Python

Step-By-Step Guide to Text Classification in Python

Author: Shivam Bansal Translated by: Shen Libin Proofread by: Ding Nanya This article is approximately 2300 words, and is recommended to be read in 8 minutes. This article will detail the text classification problem and implement this process in Python. Introduction Text classification is a common natural language processing task in business problems, with the … Read more

Collection of 10 Outstanding Large Language Model Papers

Collection of 10 Outstanding Large Language Model Papers

Large Language Models (LLMs) are a type of artificial intelligence model designed to understand and generate human language. They are trained on vast amounts of text data and can perform a wide range of tasks, including text summarization, translation, sentiment analysis, and more. LLMs are characterized by their large scale, containing billions of parameters, which … Read more

Understanding the Differences Between Bahdanau and Luong Attention Mechanisms

Understanding the Differences Between Bahdanau and Luong Attention Mechanisms

Click the above “Visual Learning for Beginners” and choose to add a “Star” or “Top” Important content delivered first time From | Zhihu Author | Flitter Link | https://zhuanlan.zhihu.com/p/129316415 This article is for academic exchange only. If there is any infringement, please contact for deletion. The Attention mechanism has become one of the most important … Read more

Exploring DeepSeek and Its Core Technologies

Exploring DeepSeek and Its Core Technologies

Alibaba Sister’s Guide This article delves deep into the core technologies of the DeepSeek large model, providing a comprehensive analysis from the company’s background, model capabilities, training and inference costs to the details of the core technologies. 1. About DeepSeek Company and Its Large Model 1.1 Company Overview DeepSeek was established in July 2023 in … Read more

Fast and Effective Overview of Lightweight Transformers in Various Fields

Fast and Effective Overview of Lightweight Transformers in Various Fields

MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and enterprise researchers. Community Vision is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. Reprinted from | RUC … Read more

Overview of 17 Efficient Variants of Transformer Models

Overview of 17 Efficient Variants of Transformer Models

Follow the public account “ML_NLP“ Set as “Starred” for heavy content delivered first-hand! Reprinted from | Xiaoyao’s Cute Selling House Written by | Huang Yu Source | Zhihu In the field of NLP, transformer has successfully replaced RNNs (LSTM/GRU), and has also found applications in CV, such as object detection and image annotation, as well … Read more

Understanding Transformer Architecture: A Complete PyTorch Implementation

Understanding Transformer Architecture: A Complete PyTorch Implementation

MLNLP ( Machine Learning Algorithms and Natural Language Processing ) community is a well-known natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university professors, and corporate researchers. The vision of the community is to promote communication between the academic and industrial circles of natural language processing and machine learning, … Read more

Understanding Transformer Architecture: A PyTorch Implementation

Understanding Transformer Architecture: A PyTorch Implementation

This article shares a detailed blog post about the Transformer from Harvard University, translated by our lab. The Transformer architecture proposed in the paper “Attention is All You Need” has recently attracted a lot of attention. The Transformer not only significantly improves translation quality but also provides a new structure for many NLP tasks. Although … Read more