An Overview of the Word2vec Skip-Gram Model

An Overview of the Word2vec Skip-Gram Model

New Media Manager Author Introduction Liú Shūlóng, currently an engineer in the technology department of Daguan Data, with interests primarily in natural language processing and data mining. Word2vec is one of the achievements of the Google research team, and as a mainstream tool for obtaining distributed word vectors, it has a wide range of applications … Read more

An Analysis of word2vec Source Code

An Analysis of word2vec Source Code

word2vec was launched by Google in 2013. The methods for obtaining word vectors, CBOW and Skip-gram models, are elaborated in the paper “Efficient Estimation of Word Representations in Vector Space.” The strategies for efficiently training models, Hierarchical Softmax and Negative Sampling, are discussed in “Distributed Representations of Words and Phrases and their Compositionality.” Since the … Read more

In-Depth Analysis of Word2Vec Principles

In-Depth Analysis of Word2Vec Principles

This Article Overview: 1. Background Knowledge Word2Vec is a type of language model that learns semantic knowledge from a large amount of text data in an unsupervised manner, and is widely used in natural language processing. Word2Vec is a tool for generating word vectors, and word vectors are closely related to language models. Therefore, we … Read more

Understanding Word2Vec: A Deep Dive into Word Embeddings

Understanding Word2Vec: A Deep Dive into Word Embeddings

word2vec Word2Vec is a model used to generate word vectors. These models are shallow, two-layer neural networks trained to reconstruct linguistic word texts.The network represents words and needs to predict the input words in adjacent positions. In Word2Vec, under the bag-of-words model assumption, the order of words is not important. After training, the Word2Vec model … Read more

Illustrated Word2Vec: A Comprehensive Guide

Illustrated Word2Vec: A Comprehensive Guide

Natural Language Processing Author: Machine Learning Beginner Original Author: Jalammar, Translated by Huang Haiguang Since 2013, word2vec has been an effective method for word embedding. This article presents word2vec in an illustrated manner, with no mathematical formulas, making it very easy to understand, and is recommended for beginners to read. (Original Author: jalammar, Translation: Huang … Read more

NLTK: Essential Toolkit for Natural Language Processing

NLTK: Essential Toolkit for Natural Language Processing

NLTK: Essential Toolkit for Natural Language Processing Many people ask me, what tools do I need to master to learn Natural Language Processing (NLP)? In fact, there are many tools for learning NLP, but there is one that you must master, and that is NLTK! NLTK stands for Natural Language Toolkit, which is a natural … Read more

Understanding AI and Gaming Integration

Understanding AI and Gaming Integration

Author: Wenlon ChatGPT was launched by OpenAI on November 30, 2022. Five days later, the number of users exceeded one million, and by January 2023, the user count surpassed 100 million, making it the fastest-growing consumer application. This company has been deeply involved in AI for eight years, and they are just one of the … Read more

RestGPT Framework: Controlling Real-World Applications via RESTful APIs

RestGPT Framework: Controlling Real-World Applications via RESTful APIs

©PaperWeekly Original · Author | Yifan Song Affiliation | PhD Student, Institute of Computational Linguistics, Peking University Research Area | Natural Language Processing Paper Title: RestGPT: Connecting Large Language Models with Real-World RESTful APIs Paper Link: https://arxiv.org/abs/2306.06624 Code Link: https://github.com/Yifan-Song793/RestGPT Research Background Large language models (LLMs) such as ChatGPT and GPT-4 have demonstrated many powerful … Read more

Understanding LLM, GPT, AIGC, AI Agent, and Agentic AI

Understanding LLM, GPT, AIGC, AI Agent, and Agentic AI

Introduction 2024 is set to be a year of full bloom for AI Large Models, with major companies releasing their own large model application products, such as: • Tencent’s Yuanbao • Alibaba’s Tongyi Qianwen • Byte’s Doubao • Baidu’s Wenxiaoyan • The Dark Side of the Moon’s Kimi • And many more It’s a dazzling … Read more

Microsoft Open Sources The Phi Series: Technological Evolution, Capability Breakthroughs, And Future Prospects

Microsoft Open Sources The Phi Series: Technological Evolution, Capability Breakthroughs, And Future Prospects

Microsoft Open Sources The Phi Series: Technological Evolution, Capability Breakthroughs, And Future Prospects 1. Introduction In recent years, the parameter scale of large language models (LLMs) has shown an exponential growth trend, demonstrating strong general intelligence and achieving groundbreaking progress in numerous natural language processing tasks. However, these large models come with high training costs, … Read more