Switching from Windsurf to Cursor’s Latest YOLO Mode: A Step-by-Step Guide

Switching from Windsurf to Cursor's Latest YOLO Mode: A Step-by-Step Guide

Add me to the AI discussion and study group, contact information at the bottom right of the public account“Contact Information” Follow and send “Knowledge Essence” to get free knowledge link addresses In the last issue, we mentioned that version 0.44 of Cursor has borrowed (copied) the most core and smooth features of Windsurf.  Just in … Read more

Creating AI Flashcards with WindSurf and DeepSeek: A Complete Guide

Creating AI Flashcards with WindSurf and DeepSeek: A Complete Guide

Today, I will reveal how to leverage cutting-edge AI technology to build a powerful AI flashcard application from scratch, boosting your learning efficiency. In this article, I will share my practical experiences without reservation, showcasing the charm of tools like WindSurf, DeepSeek API, and Tldraw, and guide you to create your own personalized smart flashcards! … Read more

Reverse Analysis of Windsurf Prompts and Interaction Logic

Reverse Analysis of Windsurf Prompts and Interaction Logic

Codeium recently launched the Windsurf Editor, claiming to keep technical personnel in a continuous state of flow, and it has received many positive reviews in external communities. Therefore, this week I conducted a brief trial of the ChatAndCode-related capabilities that I have been paying attention to, attempting to reverse analyze some of the Prompt functionalities. … Read more

Windsurf Implementation of Jumping Game: A Must-Try

Windsurf Implementation of Jumping Game: A Must-Try

Windsurf version 1.2.1 was released on the 17th, which is quite a significant update. Let’s take a look at the update log: Web and Document Search Cascade can now search the Web! There are several ways to use it: Automatic : Just ask a query that requires a real-time Internet search, and Cascade will automatically … Read more

Tencent Education’s Vision for B2B in the AIGC Era

Tencent Education's Vision for B2B in the AIGC Era

The education industry is at the crossroads of two major changes. In recent years, policy adjustments have cooled capital investment. After experiencing a winter of challenges, the education sector has begun to return to “rationality” and focus on high-quality development. The development of artificial intelligence is transforming the underlying logic of the economy and society … Read more

OpenRAG Base: An Open Knowledge Base for RAG

OpenRAG Base: An Open Knowledge Base for RAG

This project is the open knowledge base of the OpenRAG subproject under OpenKG, which focuses on RAG research and is committed to promoting the development of the RAG field. You can access it through the link to enter the OpenRAG Base homepage. Origin Retrieval-Augmented Generation (RAG), as one of the most concerned practical technologies for … Read more

Overview of Retrieval-Augmented Generation (RAG) Technology

Overview of Retrieval-Augmented Generation (RAG) Technology

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

Combining RAG and LLMs: A Review of Retrieval-Augmented Large Language Models

Combining RAG and LLMs: A Review of Retrieval-Augmented Large Language Models

As one of the most advanced technologies in artificial intelligence, Retrieval-Augmented Generation (RAG) technology can provide reliable and up-to-date external knowledge, offering great convenience for numerous tasks. Especially in the era of AI-Generated Content (AIGC), RAG’s powerful retrieval capabilities in providing additional knowledge enable it to assist existing generative AI in producing high-quality outputs. Recently, … Read more

Improving RAG Application Accuracy: Understanding Rerankers

Improving RAG Application Accuracy: Understanding Rerankers

Retrieval-Augmented Generation (RAG) is an emerging AI technology stack that enhances the capabilities of large language models (LLMs) by providing additional “up-to-date knowledge”. The basic RAG application includes four key technical components: Embedding Model: Used to convert external documents and user queries into embedding vectors Vector Database: Used to store embedding vectors and perform vector … Read more

Detailed Explanation of RAG 2.0 Architecture: Building End-to-End Retrieval-Augmented Generation Systems

Detailed Explanation of RAG 2.0 Architecture: Building End-to-End Retrieval-Augmented Generation Systems

Click on “Deephub Imba“, follow the public account, and don’t miss out on great articles! There have been many articles about Retrieval-Augmented Generation (RAG). If we could create a trainable retriever, or if the entire RAG could be customized like fine-tuning a large language model (LLM), we would definitely achieve better results. However, the current … Read more