Recently, while mentoring Ma Su in programming, I found that he was always confused by the clutter of code files. Today, I want to share how to use Cursor’s grouping feature to organize code files and make programming work more structured! Ma Su’s Troubles Ma Su: Master, I am currently developing a mall project, and … Read more
Click the blue words above to follow us! Chapter One: Getting to Know Cursor’s Code Review Feature Ma Su: Lord Zhuge, I am in charge of code review in our team project recently, but I feel the efficiency is very low. I have to switch back and forth between various files and manually mark issues. … Read more
Regardless of the chosen path, continuous learning, practice, and interdisciplinary collaboration are key. The development of AGI requires knowledge and skills from multiple areas, maintaining curiosity and an open mindset, and actively participating in technology communities and industry events. Engaging in and learning about AGI (Artificial General Intelligence) is a long-term and complex process that … Read more
Today, I’m excited to introduce you to a super cool Python library—agi-pack. This library is powerful and can help us easily tackle many complex tasks, like a “superhero” in the Python world, making programming simple and fun. Next, let’s dive into the world of agi-pack and embark on a wonderful programming journey! 1. Getting to … Read more
↓Recommended Follow↓ Transformers have fundamentally changed deep learning models since their introduction. Today, we will unveil the core concepts behind Transformers: the attention mechanism, encoder-decoder architecture, multi-head attention, and more. Through Python code snippets, you’ll gain a deeper understanding of its principles. 1. Understanding the Attention Mechanism The attention mechanism is a fascinating concept in … Read more
Overview The Condense Question mode is a simple chat mode built on top of a data query engine. It provides a flexible chat engine by compressing the conversation context and latest message into standalone questions, which are then interacted with the query engine. For each chat interaction: 1. First, generate a standalone question based on … Read more
Recently, LlamaIndex launched a new feature called Workflow in its latest version. This feature helps large language model (LLM) applications achieve event-driven architecture, making the code logic clearer and more independent. This article will take you through a simple practical project to deeply understand this new feature, highlighting its advantages and shortcomings. Without further ado, … Read more
Original Title: Easily Build a Knowledge Base with LangChain, LlamaIndex, and OpenAI In today’s information age, effectively managing and utilizing vast amounts of data has become a key issue. For Python developers, building an intelligent knowledge base system can not only improve work efficiency but also provide strong support for decision-making. Today, I will teach … Read more
Are you still troubled by the uneven quality and poor performance of AI in China? Then let’s take a look at Dev Cat AI (3in1). This is an integrated AI assistant that combines GPT-4, Claude3, and Gemini. It covers all models of the three AI tools. Including GPT-4o and Gemini flash You can own them … Read more
In today’s AI era, how to enable AI models to understand and answer questions based on specific documents has become a hot topic. LlamaIndex, as a powerful data framework, can help us easily build document Q&A systems based on large language models. This article will guide you to set up a simple yet fully functional … Read more