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:The AI model that uses text to synthesize 3D graphics has a new SOTA! Recently, the research group of Professor Liu Yongjin of Tsinghua University proposed a new method of creating 3D images based on diffusion model. Both the consistency between different viewing angles and the matching with prompt words have been greatly improved compared to before. Image Vincent 3D is a hot research content of 3DAIGC and has received widespread attention from academia and industry. The new model proposed by Professor Liu Yongjin’s research group is called TICD (Text-ImageConditionedDiffusion), which has reached the SOTA level on the T3Bench data set. At present, relevant papers have been published and the code will be open source soon. The evaluation results have reached SOTA. In order to evaluate the effect of the TICD method,
2024-01-02 comment 0 729
Course Introduction:According to the official recruitment information released by Microsoft yesterday, they plan to recruit a chief application scientist in Beijing to be responsible for developing SOTAAI technology for the Edge browser to improve the browser experience. IT Home Note: SOTA refers to State-of-the -Art (State of the Art), in the field of computer science and machine learning, SOTA refers to the model or algorithm that currently performs best in a specific task or field. This term is often used to describe a model that is currently considered to be the best at solving a specific problem or task. Microsoft stated in the recruitment information: "The Edge Machine Learning team is the core scientific team behind the Edge browser. We are looking for passionate ML software engineers and application scientists to help
2023-09-19 comment 0 615
Course Introduction:Since the advent of GPT-3, which demonstrated the power of hundreds of billions of models, NLP tasks have faced the impossible triangle of scale, samples, and fine-tuning performance. How can a language model with less than 1 billion parameters achieve SOTA's Few-Shot (or even Zero-shot) and Fine-tuning performance? Do we have to have hundreds of billions of parameters and endure unstable prompts to solve the zero-shot scenario? In this article, the IDEA Research Institute Fengshenbang team introduces a new "phenomenological" UniMC, which can achieve zero-shot SOTA with only 200 million parameters.
2023-04-09 comment 0 718
Course Introduction:Machine learning makes computer graphics (CG) simulations more realistic! The method is called Neural Flow Maps (NFM), which can accurately simulate smoke with four vortices: more complex ones can also be easily realized: you know, in this era of AI applications flying all over the sky, CG physics simulation is still It is the world of traditional numerical algorithms. △NFM simulates "leapfrog". Although the application of neural networks in CG can create dazzling visual effects, it cannot strictly and robustly describe physical properties. △NFM simulates "ink droplets" It is precisely for this reason that physical simulation based on neural networks is still in the proof of concept stage, and the effects generated are far from SOTA. In order to solve this complex problem,
2024-02-19 comment 141
Course Introduction:New SOTA for multimodal document understanding capabilities! Alibaba's mPLUG team released the latest open source work mPLUG-DocOwl1.5, which proposed a series of solutions to address the four major challenges of high-resolution image text recognition, general document structure understanding, instruction following, and introduction of external knowledge. Without further ado, let’s look at the effects first. One-click recognition and conversion of charts with complex structures into Markdown format: Charts of different styles are available: More detailed text recognition and positioning can also be easily handled: Detailed explanations of document understanding can also be given: You know, "Document Understanding" is currently An important scenario for the implementation of large language models. There are many products on the market to assist document reading. Some of them mainly use OCR systems for text recognition and cooperate with LLM for text processing.
2024-04-02 comment 0 266