Follow the public account “ML_NLP“ Set as “Starred“, heavy content delivered to you first! Reprinted from: Machine Learning Beginner 0. Introduction Word embeddings refer to a set of language models and representation learning techniques in Natural Language Processing (NLP). Conceptually, it involves embedding a high-dimensional space of the number of words into a much lower-dimensional … Read more
Author: Tian Yu Su Zhihu Column: Machine Learning Link: https://zhuanlan.zhihu.com/p/27234078 Before We Start The column has finally been approved, but I am currently applying for a name change, which may take a few days for review.In the future, I will periodically update the column with some content on machine learning and deep learning, mainly including … Read more
1. Introduction Hello everyone! After the Lantern Festival and the New Year, let’s embrace the new year with vigor! A few days ago, while browsing Xiaohongshu, I came across a post titled: Useful! Treasure WeChat Public Accounts in the Field of Information Science. I took a closer look and saw our Information Science Charging Station. … Read more
Reading time: approximately 5 minutes Follow the little blogger and improve a bit every day Author: gan Link: https://zhuanlan.zhihu.com/p/36312907 Background Introduction and Some Intuitive Understandings Word2Vec is a word vector model proposed by Google in 2012, which includes two models, Continuous Bag of Words (CBOW) and Skip Gram. The two models build word prediction models … Read more
Submitted by Tang Zhengyang ｜ Market Manager at CreditX Big Data Digest looks forward to receiving various excellent submissions Submission email: [email protected] “In the current more inclusive market environment, the customer base and scope of new financial services have further deepened and expanded, with business forms tending to be more small, dispersed, high-efficiency, and scalable. … Read more
This is a relatively early summary article. Although the content is simple, I personally find it easy to understand. Word2Vec is the cornerstone of natural language processing technology, and a deep understanding of the principles of Word2Vec is crucial for NLP practitioners. For a long time, I have been unclear about the implementation reasons behind … Read more
Big Data DigestProduced by Author: Jay Alammar Embedding is one of the most fascinating ideas in machine learning. If you have ever used Siri, Google Assistant, Alexa, Google Translate, or even your smartphone keyboard for next word prediction, you have likely benefited from this idea that has become central to natural language processing models. Over … Read more
Follow the public account “ML_NLP” Set as “Starred”, heavy content delivered first time! Overview of this article: 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 … Read more
Click 👇🏻 to follow, article from “ A couple of days ago, Microsoft open-sourced the 14B dense model phi-4, which is called the strongest 14B model available. How strong is the model? What others say doesn’t count; only trying it yourself will tell. However, when you want to get hands-on, you find that most current … Read more
This article is from the public account Silicon Star PeoplePro (ID: Si-Planet) Google’s large language model Gemini 1.0 has amazed everyone since its launch. In terms of performance, whether it is understanding text, images, and audio, or reasoning about texts in 57 fields and mathematical problems, it almost surpasses the dominant model in the natural … Read more