Can process 1 hour of video, 11 hours of audio, and over 30,000 lines of code at once. Compiled by | ZeR0 Edited by | Mo Ying On February 16, Zhiyuan reported that Google released its latest achievement in the large model matrix – Gemini 1.5, extending the context window length to 1 million tokens. … Read more
Source: AI Study Society I was interviewed recently and, since I still don’t fully understand how word embeddings work, I’ve been looking for a lot of related materials to grasp this concept better. My understanding is still limited, so I won’t overestimate myself by writing my own article (even if I did, it would just … Read more
Deep learning has achieved great success in natural language processing (NLP) tasks, among which distributed representation of words is a crucial technology. To deeply understand distributed representation, one must delve into word2vec. Today, let’s explore how the Huffman Tree is generated in the word2vec code. This is a very important data structure in word2vec, used … Read more
I’ve been looking at word2vec for a long time, but I’ve found many different versions of explanations. Moreover, the original paper does not mention many details, so I plan to look at the source code directly. On one hand, it can deepen my understanding; on the other hand, I can make appropriate improvements in the … Read more
Author: Li Xuedong Editor: Li Xuedong Introduction: Nowadays, deep learning is all the rage. Deep learning has made significant progress in the field of image processing. With the release of Word2Vec by Google, deep learning has also sparked a frenzy in the field of Natural Language Processing (NLP). As I am currently working on … Read more
Analyst Network of Machine Heart Author: Wang Zijia Editor: Joni In this article, the author first introduces the basic knowledge of word2vec to the readers, and then uses six papers as examples to detail how current research utilizes classic word2vec for expansion research. The key focus of the author is the generation process of the … 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
Click on the top “MLNLP“, select to add “starred” or “top” Heavyweight content delivered first time Editor: Yi Zhen https://www.zhihu.com/question/48345431 This article is for academic sharing only, if there is infringement, the article will be deleted. How to Evaluate fastText Algorithm Proposed by Word2Vec Author?Does Deep Learning Have No Advantage in Simple Tasks like Text … Read more
Click the blue text above to follow us TensorFlow: Essential Tool for Machine Learning Engineers Recently, while working on a deep learning project, I found TensorFlow to be an excellent tool. It is not only powerful but also very easy to use. Today, let’s discuss the basics of TensorFlow and see how it helps us … Read more