Course 2857
Course Introduction:Course introduction: 1. Cross-domain processing, token management, route interception; 2. Real interface debugging, API layer encapsulation; 3. Secondary encapsulation of Echarts and paging components; 4. Vue packaging optimization and answers to common problems.
Course 1795
Course Introduction:Apipost is an API R&D collaboration platform that integrates API design, API debugging, API documentation, and automated testing. It supports grpc, http, websocket, socketio, and socketjs type interface debugging, and supports privatized deployment. Before formally learning ApiPost, you must understand some related concepts, development models, and professional terminology. Apipost official website: https://www.apipost.cn
Course 5521
Course Introduction:(Consult WeChat: phpcn01) The comprehensive practical course aims to consolidate the learning results of the first two stages, achieve flexible application of front-end and PHP core knowledge points, complete your own projects through practical training, and provide guidance on online implementation. Comprehensive practical key practical courses include: social e-commerce system backend development, product management, payment/order management, customer management, distribution/coupon system design, the entire WeChat/Alipay payment process, Alibaba Cloud/Pagoda operation and maintenance, and project online operation. .....
Course 5172
Course Introduction:(Consult WeChat: phpcn01) Starting from scratch, you can solve conventional business logic, operate MySQL with PHP to add, delete, modify, and query, display dynamic website data, master the MVC framework, master the basics of the ThinkPHP6 framework, and learn and flexibly master all knowledge involved in PHP development. point.
Course 8713
Course Introduction:(Consult WeChat: phpcn01) The learning objectives of the front-end development part of the 22nd issue of PHP Chinese website: 1. HTML5/CSS3; 2. JavaScript/ES6; 3. Node basics; 4. Vue3 basics and advanced; 5. Mobile mall/ Website background homepage layout; 6. Automatic calculation of tabs/carousels/shopping carts...
Course Introduction:Yesterday I said that after returning from the Data Technology Carnival, I deployed a set of ChatGLM and planned to study the use of large language models to train database operation and maintenance knowledge base. Many friends did not believe it, saying that you are already this old, Lao Bai, and you can still do it yourself. these things? In order to dispel the doubts of these friends, I will share with you the process of tossing ChatGLM in the past two days today, and also share some tips on avoiding pitfalls for friends who are interested in tossing ChatGLM. ChatGLM-6B is developed based on the language model GLM jointly trained by Tsinghua University's KEG Laboratory and Zhipu AI in 2023. It is a large-scale language model that provides appropriate responses and support for users' questions and requirements. The answer above is from ChatGLM himself
2023-05-02 comment 0 1492
Course Introduction:The release of ChatGPT has stirred up the entire AI field, and major technology companies, startups, and university teams are following suit. Recently, Heart of the Machine has reported on the research results of many startup companies and university teams. Yesterday, another large-scale domestic AI dialogue model made its grand debut: ChatGLM, a company transformed from Tsinghua University’s technological achievements and based on the GLM-130B 100 billion base model, has now started an invitation-only internal test. It is worth mentioning that Zhipu AI has also open sourced the Chinese-English bilingual dialogue model ChatGLM-6B, which supports inference on a single consumer-grade graphics card. Internal test application website: chatglm.cn It is understood that the capability improvement of the current version of ChatGLM model mainly comes from independent
2023-04-30 comment 0 916
Course Introduction:Hello everyone. Today I would like to share with you an open source large language model ChatGLM-6B. Within ten days, nearly 10,000 stars were harvested. ChatGLM-6B is an open source conversational language model that supports Chinese and English bilinguals. It is based on the General Language Model (GLM) architecture and has 6.2 billion parameters. Combined with model quantization technology, users can deploy it locally on consumer-grade graphics cards (a minimum of 6GB of video memory is required at the INT4 quantization level). ChatGLM-6B uses technology similar to ChatGPT and is optimized for Chinese question and answer and dialogue. After about 1T identifiers of Chinese and English bilingual training, auxiliary
2023-04-13 comment 0 1592