Originally from Python Artificial Intelligence Frontier Graph Neural Networks are widely used in recommendation systems, knowledge graphs, and traffic road analysis due to their advantages in processing non-Euclidean space data and complex features. However, when the graph data volume increases, problems arise: computation becomes extremely slow, memory cannot hold it, and communication in distributed systems … Read more
Source: Big Data Digest This article is about 2000 words long and is recommended for a 5-minute read. 800 images take only 2 minutes, and the program has been packaged. Recently, according to reports from Fudan University, Li Xiaokang, a PhD student from the School of Information Science and Engineering, used OCR and regular expressions … Read more
[New Friends] To know more serialized articles, please follow the blue text below the title “Zhenli Pai”, and check the historical messages. [Old Friends] Click the top right corner “…”, to forward or share this article with your friends. Background (Introduction) With the rapid development of computer networks, the electronicization of information has become an … Read more
Source: DeepHub IMBA This article is approximately 5400 words long and is recommended for a reading time of over 10 minutes. This article discusses 12 pain points encountered during the development of RAG pipelines (7 of which are sourced from papers, and 5 from our own summary), and proposes corresponding solutions to these pain points. … Read more
When discussing the differences between AI (Artificial Intelligence) and intelligence, it can be understood from several perspectives:Artificial Intelligence (AI) refers to the ability of computer systems to perform tasks that typically require human intelligence. This includes perception, reasoning, learning, problem-solving, etc. AI can learn and optimize through algorithms and big data, enabling it to perform … Read more
OpenAI’s Operator has recently made a stunning debut. What does this so-called “fully automated” browser AI agent aim to do? It tackles those tedious, repetitive real-world tasks, such as web searches, data organization, and even interactions on online platforms. Doesn’t it sound like we can finally free our hands? But the ideal is beautiful, while … Read more
Every time I start a new machine learning project, the first thing that gives me a headache is not model selection, but the dataset. Downloading datasets, unzipping, cleaning, formatting—a series of steps makes me feel like I’m facing a “programmer’s physical labor” challenge. And once the dataset is too large to load into memory all … Read more
↑ ClickBlue Text Follow the Jishi Platform Author丨Jack Stark@Zhihu (Authorized) Source丨https://zhuanlan.zhihu.com/p/104019160 Editor丨Jishi Platform Jishi Guide This article is a collection of common PyTorch code snippets, covering five aspects: basic configuration, tensor processing, model definition and operation, data processing, and model training and testing. It also provides several noteworthy tips, making the content very comprehensive. >> … Read more
Produced by Big Data Digest Author: Caleb Shanghai has not yet been unsealed. On April 9, at a press conference on epidemic prevention and control work in Shanghai, Vice Mayor Zong Ming stated that since March 1, Shanghai has conducted multiple rounds of nucleic acid screening or antigen testing. Since Shanghai announced comprehensive nucleic acid … Read more
Recently, while writing articles, I wanted to fill in some gaps left by last year’s RAG (Retrieval-Augmented Generation) and hope to share some tips to help everyone with RAG. As the old saying goes: Building a prototype of a large model is easy, but turning it into a product that can actually be put into … Read more