Course Intermediate  11268

Course Introduction："Self-study IT Network Linux Load Balancing Video Tutorial" mainly implements Linux load balancing by performing script operations on web, lvs and Linux under nagin.

Course Advanced  17593

Course Introduction："Shangxuetang MySQL Video Tutorial" introduces you to the process from installing to using the MySQL database, and introduces the specific operations of each link in detail.

Course Advanced  11305

Course Introduction："Brothers Band Front-end Example Display Video Tutorial" introduces examples of HTML5 and CSS3 technologies to everyone, so that everyone can become more proficient in using HTML5 and CSS3.

Course Introduction：Reasons why ecshop is slow: 1. Improper server configuration. The speed and performance of ecshop are affected by the server configuration; 2. Insufficient database optimization. The database is the core component of ECShop and stores and processes all product information, order data, etc.; 3. Pictures and There are too many or too large static resources. If the web page contains a large number of pictures or other static resources, the time to load these resources will affect the response speed of the website; 4. Conflicts or too many plug-ins and templates will lead to conflicts and performance degradation; 5. If the network environment is unstable and the number of visits is large, the server will be overloaded.

2023-07-13 comment 0  1397

Course Introduction：Tencent announced on its official account "Tencent Open Source" that its open source distributed data science component project Fast-Causal-Inference has been publicly released on GitHub ▲ Picture source "Tencent Open Source" official account It is reported that this is developed by Tencent WeChat. It uses SQL interaction and is a statistical analysis and causal inference computing library based on distributed vectorization. It is said to "solve the performance bottleneck of existing statistical model libraries (R/Python) under big data and provide tens of billions of data execution in seconds. Causalinference capability, while lowering the threshold for using statistical models through SQL language, making it easy to use in production environments. It has been applied in multiple internal businesses of WeChat such as WeChat video account, WeChat search and search, etc. "Official introduction

2023-09-18 comment 0  1186

Course Introduction：Nginx is a high-performance open source web server and reverse proxy server with lightweight, scalable and high-concurrency processing capabilities. It is widely used to build reliable and efficient web applications and services. Forward proxy is a proxy server application mode that acts as a middleman for the client to help the client communicate with the target server. For example, when a client cannot access certain websites directly, access can be achieved through a forward proxy. In this case, the client sends a request to the proxy server, and the proxy server forwards the request to the target server. Ultimately, it is assumed that there is a network environment within the company, and employees need to access external Internet resources through the proxy server. In this case, the proxy server acts as a forward proxy and receives

2024-03-16 comment 0  416

Course Introduction：Neural network data embedding is a method of converting high-dimensional data (such as images, text, audio, etc.) into low-dimensional dense vectors. The significance is to map the original data into a continuous vector space so that data with similar features can be closer and data with dissimilar features can be farther away. This embedding method is very useful in many machine learning tasks, such as classification, clustering, similarity calculation, etc. Through neural network data embedding, we can effectively capture the similarities between data and obtain better results in further analysis and processing. Neural network data embedding typically uses deep learning models such as convolutional neural networks, recurrent neural networks, or Transformer models. These models are able to extract meaningful features from raw data and

2024-01-22 comment 0  1140

Course Introduction：83% of the information humans obtain comes from vision. Large multi-modal models of graphics and text can perceive richer and more accurate real-world information and build more comprehensive cognitive intelligence, thus taking greater steps towards AGI (Artificial General Intelligence). Yuanxiang today released the multi-modal large model XVERSE-V, which supports image input with any aspect ratio and leads in mainstream evaluations. This model is fully open source and available for unconditional free commercial use, continuing to promote R&D and application innovation for a large number of small and medium-sized enterprises, researchers and developers. XVERSE-V has excellent performance, surpassing open source models such as Yi-VL-34B, wall-facing intelligent OmniLMM-12B and DeepSeek-VL-7B in a number of authoritative multi-modal evaluations, and in the comprehensive ability evaluation MMBen

2024-04-28 comment 0  689