Preface This standard is drafted in accordance with the rules given in GB/T 1.1-2009. This standard is proposed and standardized by the National Archives Administration. The drafting units of this standard: National Archives Administration, Qingdao Archives. Main drafters of this standard: Liu Yun, Ding Desheng, Yang Laiqing, Zou Jie. 1 Scope This standard specifies the … Read more
Deepseek Simplified User Guide is here! 1. DeepSeek 2. Basic Functions 3. Special Features 4. Step One 5. Step Two 6. Step Three 7. Step Four ✨ What can it do? (Basic Version) 1. Find useful information: For example, “What to eat for a quick recovery from a cold in winter” or “Which indoor plants … Read more
Since the popularization of the Internet, the overwhelming, complex, and uncertain authenticity of information has been troubling users. Although tools such as search engines, directories, and manually edited communities can provide some assistance, the accuracy and convenience of these tools are still insufficient, urgently requiring a shift towards intelligent, precise, professional, and personalized user-centered intelligent … Read more
Communication, books, messages, text messages, songs, movies… It is hard to imagine a world without information. Every day we face a vast amount of text and speech. What natural language processing aims to do is convert various human languages into standardized computer languages, ultimately achieving human-computer interaction. 01 What Is Natural Language Processing? Natural Language … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, reaching an audience of NLP graduate students, professors, and researchers in enterprises. The vision of the community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. … Read more
Follow the WeChat public account “ML_NLP“ Set as “Starred“, delivering heavy content at the first time! Source | Zhihu Address | https://zhuanlan.zhihu.com/p/79041829 Author | mantch Editor | Machine Learning Algorithms and Natural Language Processing WeChat public account This article is for academic sharing only. If there is any infringement, please contact the backend for deletion. … Read more
When we talk about the complex and fascinating modern technological concept of knowledge graphs, we can cleverly compare it to the family tree of a large family in our daily lives. 1. Family Tree Imagine you have opened an ancient book filled with history and stories; this is a family tree that records the lineage … Read more
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 corporate researchers. The Vision of the Community is to promote communication and progress between the academic community, industry, and enthusiasts in machine learning and natural language processing, especially for beginners. … Read more
Source: DeepHub IMBA This article is about 1600 words long and is recommended to be read in 5 minutes. Retrieval-Augmented Generation is a technical approach aimed at enhancing the performance of large language models. Overview of Retrieval-Augmented Generation (RAG) Technology Retrieval-Augmented Generation (RAG) is a technical method aimed at enhancing the performance of Large Language … Read more
Recently, Retrieval-Augmented Generation (RAG) has garnered widespread attention in the AI field, becoming a focal point of discussion among many researchers and developers. As a technology that combines retrieval with generation, RAG demonstrates the potential to achieve outstanding results in various tasks such as question answering, dialogue generation, and text summarization. Its emergence provides a … Read more