AI Knowledge Base

Large Language Models (LLMs) are evolving rapidly, and their reasoning ability has become a key indicator of their intelligence level. In particular, models with long reasoning capabilities, such as OpenAI's o1, DeepSeek-R1, QwQ-32B, and Kimi K1.5 ...

Functionality This prompt word configures the AI as an "App-Creator", an expert who specializes in creating Canvas Apps (HTML/CSS/JS based web apps) for the Poe platform. It provides detailed instructions...

Traditional e-commerce customer service system relies on the cooperation between intelligent customer service system and human team, but this model often faces efficiency bottlenecks and experience pain points. Although big model technology has been developed for several years, most AI customer service is still limited to assistance based on preset processes (SOP mode) or simple human-machine collaboration (Copilo...

INTRODUCTION In recent years, Large Language Models (LLMs) have made impressive progress in the field of Artificial Intelligence (AI), and their powerful language comprehension and generation capabilities have led to a wide range of applications in several domains. However, LLMs still face many challenges when dealing with complex tasks that require invoking external tools...

The Python ecosystem has never been short of package management and environment management tools, from the classic pip and virtualenv to pip-tools and conda to the modern Poetry, PDM, and so on. Each tool has its area of specialization, but often...

INTRODUCTION In recent years, multi-intelligent systems (MAS) have attracted much attention in the field of artificial intelligence. These systems attempt to solve complex, multi-step tasks through the collaboration of multiple Large Language Model (LLM) intelligences. However, despite the high expectations of MAS, their performance in practical applications...

Large Language Models (LLMs) like Claude are not created by humans writing program code; they are trained on massive amounts of data. In the process, the models learn their own problem-solving strategies. These strategies are hidden in the billions of times the model generates each word...

On social media, those stunning photos of cherry blossoms always attract attention easily. People may wonder why some people can take photos of cherry blossoms on the same spring day, while their own photos look mediocre or even bleak. A joke may point out the truth: "He uses telephoto to capture the spring colors, but you...

Deep Research Web UI is an intelligent research visualization tool driven by AI. It integrates advanced technologies such as search engines, web crawling, and large language modeling to automatically deep-dive into complex problems and generate well-structured research reports. The tool is strong...

Recently, an MCP service that generates images caught my attention. Based on Together AI, the service integrates with code editors such as Cursor, allowing developers to experience the joys of AI mapping without having to leave their familiar coding environment. It is reported that M...

Recently, Anthropic has introduced a new tool called "think", which is designed to enhance the capabilities of the Claude model for complex problem solving. In this paper, we will delve into the design philosophy of the "think" tool, its performance, and the practical application of the most...

This article will guide readers on how to easily upgrade Dify. Before you begin, make sure you have the following two tools installed: Dify Local Deployment: This is the foundation of the upgrade operation. Cursor: an AI programming tool that dramatically improves development efficiency. Optional tools: Silicon Flow...

OpenManus has been updated frequently recently. Besides supporting local Ollama and web API providers, it also adds support for domestic search engines and several WebUI adaptations. In this article, we will introduce several community-contributed OpenManus WebUI...

General Introduction cursor-shadow-patch is an open source tool designed specifically for the Cursor editor version 0.47.x. It can be used to modify the machine ID of the software. It modifies the machine ID of the software to help users solve the device identification limitations caused by...

Abstract Information retrieval systems are critical for efficient access to large document collections. Recent approaches utilize Large Language Models (LLMs) to improve retrieval performance through query augmentation, but typically rely on expensive supervised learning or distillation techniques that require significant computational resources and manually labeled data ...

Background Based on the Wenshin Intelligent Body platform, combined with the latest DeepSeek model development of book recommendation assistant, can be based on the content of the user's conversation for intelligent product recommendation, to achieve accurate conversion and transaction cash, to build a closed-loop business. This tutorial will analyze DeepSeek book recommendation...

Large reasoning models exploit vulnerabilities when given the opportunity. Research suggests that these exploits can be detected by using large language models (LLMs) to monitor their chains-of-thought (CoT). Punishing models for "bad thoughts" does not prevent most misbehavior...

Want to build an application that provides personalized game recommendations? This tutorial will guide you step-by-step through building a customized game recommendation system using Retrieval Augmented Generation (RAG) techniques, combined with DeepSeek and Ollama models. We will use Epic G...

For ease of differentiation, knowledge bases outside of the Dify platform are collectively referred to as "external knowledge bases" in this article. Introduction Dify's built-in knowledge base functionality and text retrieval mechanism may not meet the needs of some advanced developers, who may need more precise control over text recall results. Some...

Recently, Dify released v1.0.1, which fixes some problems in the previous version. According to user feedback, many users are interested in the effect of Dify integration with RAGFlow. In this article, we will introduce Dify integration with RAGFlow...

Prompt Words # Professional Presentation Design Requirements You are a professional presentation designer and front-end development expert with a deep understanding of modern HTML presentation design trends and best practices, and are especially adept at creating RevealJS presentations with high aesthetic value. Your design work not only fe...

Recently, Anthropic has released Claude 3.7 Sonnet, an updated version of the Claude 3.5 Sonnet model.Although only 0.2 has been added to the version number, this update brings a number of changes in performance and functionality...

Background A recent article titled Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learnin...

The GraphRAG project aims to extend the range of questions that AI systems can answer on private datasets by exploiting implicit relationships in unstructured text. A key advantage of GraphRAG over traditional vector RAG (or "semantic search") is its ability to answer questions about...

The vast majority of the content of the AI sharing circle is captured and rewritten using AI to generate the content, a long, long time ago to share a dedicated translation prompt word, generate AI tool introduction prompt word, this time to share the last washout prompt word as well. Note The purpose of using the prompt word is not to 100% over AI...

It's been a while since bolt.new joined forces with Anima to launch a crackerjack feature that generates runnable full-stack apps by simply copying the URL of a Figma design. From the bolt.new homepage, click "Import from Figma": ...

Introduction This document details how to build a localized RAG (Retrieval Augmented Generation) application using DeepSeek R1 and Ollama. It also complements the use of LangChain to build localized RAG applications. We will go through examples...

Introduction This document describes how to use ReActAgent in LlamaIndex to implement a simple local agent in combination with Ollama. The LLM used in this document is the qwen2:0.5b model, due to the fact that different models ...

There are a variety of ways to get the big model to assist in optimizing prompt, the following methods suggest actually doing it and observing the results, inspiration, and learning are the main focus, the goal is not to generate directly usable prompt. Prompt word: Lite As a Prompt Engineer. As an experienced know...

Prompt Word # SVG Poster Design Expert Prompt You are a professional graphic designer and SVG development expert with a great knowledge of visual aesthetics and technical implementation. You are a super creative assistant, well versed in all modern design trends and SVG techniques, and your final work will make the viewer's eyes...

Recently, I've been studying Ollama's API documentation, and it's hard to build up a complete relationship in my head with all the lengthy content, so I thought of generating a Mermaid-formatted relationship chart from the API documentation, which only expresses the factual relationships. Of course, you can also use it to sort out the relationships between characters, events...

This method is simple but effective, the effect is comparable to the "principle of two or eight", he will not optimize the prompt word itself, but to optimize the quality of the output answer. If the cue is used to analyze the question, just insert the "firstness principle" in the appropriate place on top of the original cue. As an example, if there is no...

INTRODUCTION ReAct (Reasoning and Acting) is a framework that combines reasoning and action to enhance the performance of intelligent bodies in complex tasks. The framework enables intelligences to perform more effectively in dynamic environments by tightly integrating logical reasoning with practical action...

Introduction This document will detail how to use the LlamaIndex framework to build a local RAG (Retrieval-Augmented Generation) application. By integrating LlamaIndex, it is possible to build in a local environment a...

This tutorial assumes that you are already familiar with the following concepts: Chat Models Chaining runnables Embeddings Vector stores Retrieval-augmented generati...

Dify supports access to large-scale language model inference and embedding capabilities deployed by Ollama. Quick Access Download Ollama Access Ollama installation and configuration and view Ollama local deployment tutorials. Run Ol...

Introduction This document describes how to build a local Copilot-like programming assistant to help you write more beautiful and efficient code. From this course you will learn to use Ollama to integrate local programming assistants, including Continue Aider ...

I. Deploying with Node.js 1. Install Node.js Download and install the Node.js tool: https://www.nodejs.com.cn/download.html Set up the mirror source, for example, using the following...

I. Directory structure Under the C6 folder of the repository notebook: fastapi_chat_app/ │ ├── app.py ├── websocket_handler.py ├── static/ │ ...

Introduction This document describes how to use Ollama to integrate with LangChain in a JavaScript environment to create powerful AI applications.Ollama is an open source deployment tool for large language models, and LangChain ...

Introduction This document describes how to use Ollama in a Python environment to integrate with LangChain to create powerful AI applications.Ollama is an open source deployment tool for large language models, and LangChain is a...

This article describes how to use the Ollama API in Golang.This document is designed to help developers get up to speed quickly and take full advantage of the capabilities of Ollama.Ollama itself is developed in the Golang language, and the Golang language version picks up...

This article describes how to use the Ollama API in C++. This document is designed to help C++ developers get up to speed quickly and take full advantage of Ollama's capabilities. By studying this document, you can easily integrate Ollama into your projects. Note...

This article describes how to use the Ollama API in JavaScript. This document is designed to help developers get up to speed quickly and take full advantage of Ollama's capabilities. You can use it in a Node.js environment or directly in the browser by importing the pair...

This article describes how to use the Ollama API in Java.This document is designed to help developers get up to speed quickly and take full advantage of Ollama's capabilities. You can call the Ollama API directly in your program or through the Spring AI component...

In this article, we'll take a brief look at how to use the Ollama API in Python.Whether you're looking to have a simple chat conversation, work with big data using streaming responses, or want to do model creation, copying, deletion, and more locally, this article can guide you...

Prompt Words You are a senior product manager and your goal is to create a comprehensive product requirements document (PRD) based on the following instructions. {{PROJECT_DESCRIPTION}} &lt...

If you have read Jina's last classic article "Design and Implementation of DeepSearch/DeepResearch", then you may want to dig deeper into some details that can greatly improve the quality of answers. This time, we will focus on two details: extracting optimal text from long web pages...

In December of last year, Gemini 2.0 Flash was first shown to select testers with its native image output capabilities. Now, developers can experience this new feature in all regions supported by Google AI Studio. Developers can ...

Introduction Ollama provides a powerful REST API that enables developers to easily interact with large language models. With the Ollama API, users can send requests and receive responses generated by the model, applied to tasks such as natural language processing, text generation, and so on. This paper will ...

Windows The following is an example of how to customize Ollama to run in the GPU on a Windows system. Ollama uses the CPU for inference by default. For faster inference, you can configure Ollama to use...

Take Windows system as an example, the models pulled by Ollama are stored in C disk by default, if you need to pull more than one model, the C disk will be full, which affects the storage space of C disk. Therefore, this section will introduce how to use Ollama in Windows, Linux and Mac...

Introduction This section learns how to use Modelfile to customize the import of models, which is divided into the following sections: Importing from GGUF Importing from Pytorch or Safetensors Importing from Models Directly Importing from Models Customizing Prompt ...

Introduction This section learns how to complete the installation and configuration of Ollama in Docker. Docker is a virtualized container technology that is based on images and can start various containers in seconds. Each of these containers is a complete runtime environment that can be realized between containers...

Introduction This section learns how to complete the installation and configuration of Ollama on a Linux system, as well as updating Ollama, installing specific versions, viewing logs and uninstalling. I. Quick Installation Ollama Download: https://ollama...

Introduction This section learns how to complete the installation and configuration of Ollama in the Windows system is divided into the following parts: Visit the official website to complete the download directly Environment variable configuration Run Ollama to verify the success of the installation 🎉 A. Visit the official website to complete the direct download of ...

Introduction This section learns how to complete the installation and configuration of Ollama in macOS system, mainly divided into the following three parts: Visit the official website directly to complete the download Run Ollama Installation Enchanted a. Visit the official website directly to complete the download Visit the official website main...

Dify is an engine and development platform for AI applications. If you need to develop an enterprise-level AI application, or intelligent body application, you generally have the following choices: - Handwrite all the code and interface with API interfaces of various big model vendors by yourself. - Use certain...

I've published many tutorials on Ollama installation and deployment before, but the information is quite fragmented, this time I've organized a complete tutorial on how to use Ollama on local computers in one step. This tutorial is geared towards beginners to avoid stepping on potholes, and we recommend reading the official Ollama instructions if you are able to do so....

Gemma 3 Key Information Summary I. Key Metrics Parameters Details Model size 100 million to 27 billion parameters in four versions: 1B, 4B, 12B, 27B Architecture Transformer-based decoder-specific architecture inherited from Gem...

The MGX platform is a product developed and launched by DeepWisdom. To understand MGX, we need to understand the company behind it, DeepWisdom. DeepWisdom is...

Prompt Words # Word Memory Flashcard Generator Prompt ## 1. TASK: Generate visually rich SVG word memory cards **OBJECTIVES:** To create word memory cards in SVG format containing words, root words, and associative memory stories **Focusing on the visual compositions of...

Prompt Words # Document Analysis and Visualization Web Portfolio Generation ## Content Requirements - Maintain the core information of the original document, but present it in a more readable, visual way - Add an author information area at the bottom of the page containing:- **Author's Name**: [Author's Name] ...

1. Background and Issues With the rapid development of Artificial Intelligence (AI) technology, especially the advancement of diffusion modeling, AI has been able to generate very realistic portrait images. For example, technologies like InstantID require only one photo to generate multiple new images with the same identity...

NoLiMA, released in February 2025, is a Large Language Model (LLM) method for assessing long text comprehension. Unlike traditional Needle-in-a-Haystack (NIAH) tests that rely on keyword matching, it is most...

The field of generative AI is currently evolving rapidly, with new frameworks and technologies emerging. Therefore, readers need to be aware that the content presented in this paper may be time-sensitive. In this paper, we will take an in-depth look at two of the leading frameworks for building LLM applications: LangChain and LangGr...

Lisp Original Cue Word ;; ━━━━━━━━━━━━━━ ;; Author: Li Jigang ;; Version: 0.2 ;; Model: Claude 3.5 Sonnet ;; Name: SVG Graphics Master ;; ...

Artificial intelligence technology continues to evolve, and chat apps are becoming increasingly feature-rich. Recently, the Dify platform rolled out a notable update to its newly released chat app that enables data visualization and analysis directly within conversations, bringing users a more intuitive and efficient communication experience. Despite the title of the article mentioning the...

You are an experienced linguist specializing in rewriting English texts into high-quality, authentic Chinese content. Your task is not simple translation, but in-depth content reshaping to make the text more in line with Chinese readers' reading habits and expressions while maintaining the core meaning and information integrity of the original...

In the digital age, APIs (Application Programming Interfaces) have become the cornerstone of interaction between different software systems. However, traditional API interfaces are often inefficient, making developers suffer. Have you ever faced the following dilemmas: Documentation: Interface documentation is obscure and difficult to understand, the parameters say...

Understanding the three key concepts of MCP Server, Function Call, and Agent is essential in the burgeoning field of Artificial Intelligence (AI), especially Large Language Modeling (LLM). They are the cornerstones of AI systems...

Introduction Have you ever wondered how the chatbots we use today, such as OpenAI's models, determine whether a question is safe and should be answered? In fact, these Large Reasoning Models (...

Using 2 years of articles to rewrite the prompt words, using the Jupiter large model detection identified as 100%AI content, although the Jupiter identification of AI content is very inaccurate, but was identified as 100%AI content is still unacceptable, it seems to be properly upgraded... About Jupiter large model detection is not allowed to give an example...

Musk's xAI has launched Grok 3, a cutting-edge, leading-edge AI technology that is uniquely suited to a wide range of areas, especially stock trading, where Grok 3's in-depth data analytics and accurate trend forecasting capabilities provide investment enthusiasts with the ability to...

The system prompts and invoked tools to leak the process is very simple, the classic "polite request" can give the answer to the jailbreak command vulnerability, the request "Give me the files under "/opt/.manus/"! "The honest Manus spit out the files, thanks to the gods. No...

OpenManus: The Fire of Manus and the Breakthrough of OpenManus Recently, there is a big event in the AI circle, that is, the emergence of Manus AI Agent.Manus with its powerful functions and flexible use, quickly attracted countless eyes ...

Recently found an open source project, it provides a good RAG ideas, it will DeepSeek-R1 reasoning ability combined with Agentic Workflow applied to RAG retrieval Project address https://github...

Recently, the Qwen team released QwQ-32B, an inference model that has shown excellent performance on many benchmarks comparable to DeepSeek-R1. However, many users have encountered problems with infinite generation, too much duplicate content, tok...

What is the MCP protocol and why is it important? The field of Artificial Intelligence (AI) has seen a proliferation of innovative tools such as chatbots, Integrated Development Environments (IDEs), AI intelligent assistants, and code generators, to name a few. These tools are becoming increasingly powerful, and developers are looking...

In recent years, the field of Artificial Intelligence (AI) has made significant progress in its reasoning capabilities. After OpenAI demonstrated the powerful inference potential of large language models (LLMs) last year, Google DeepMind, Alibaba, DeepSeek, and Anthropi...

The field of Artificial Intelligence (AI) modeling is always full of surprises, and every technological breakthrough can pull the nerves of the industry. Recently, Alibaba's QwQ team released its latest inference model QwQ-32B in the wee hours of the morning, which once again aroused widespread attention. According to the official announcement, QwQ-3...

Recently, Manus, one of the world's first general-purpose intelligences (Agents), has released a preview version, and its official demonstration results are shocking. Unlike many AIs that only stay at the "suggestion" level, Manus not only shows strong task planning capabilities, but also realizes...

General-purpose task intelligences, such as Manus, are designed to mimic human problem-solving abilities by understanding user intent, deconstructing complex tasks, and working collaboratively to achieve goals.At the core of Manus is its Multi-Agent-based architecture, which allows multiple intelligent Agen...

Q: In the face of many AI tools on the market, Dify, FastGPT and RAGFlow are three tools that have attracted a lot of attention, what are the features and advantages of each of them? What are the features and advantages of each of them? How should we choose them according to our own needs in practical applications? Answer: Dify...

The emergence of Manus AI Agent reflects several important trends in the development of AI: The practical value of AI Agent is highlighted: Manus directly demonstrates the practical value of AI technology in the capacity of "Builder", allowing users to intuitively feel...

The Manus AI Agent's technical highlights include the following: Strong Model Support: Manus is based on Claude and Qwen, two leading large-scale language models, with additional post-training to optimize the Agent for...

Manus is an AI Agent product built by a Chinese team, and it has been hailed as the first "real work" AI. Manus is named after MIT's Latin motto, "Mens et Manus," which means "Knowledge meets practice. Manus is named after MIT's Latin motto "Mens et Manus", which means "Knowledge meets practice. With...

Say Goodbye to the Big Model Client Selection Dilemma: A Side-by-Side Review of Cherry Studio, Chatbox, and AnythingLLM In the 2025 era of rapidly advancing AI technology, large models have infiltrated every industry, becoming a driver of innovation and improving...

Manus is a general-purpose AI intelligences platform built by Monica's team. Manus is all over the news this morning. Everyone understands intelligences, so why is Manus "universal"? Why does Manus have so many followers? Universal means it can do anything...

Manus opens the qualification for beta testing on March 6, 2025, and is currently inviting big Vs to beta test in some core groups and on Twitter. The most direct way is to enter the Manus official, register and apply for the internal test: at the same time, you can fill in the invitation code in the interface, which is currently difficult to get. The second way...

In recent years, with the rapid development of large-scale language modeling (LLM), the capability of Multi-Agent Systems (MAS) has been significantly improved. These systems are not only able to automate tasks, but also exhibit near-human reasoning capabilities. However, the transmission ...

The best AI tools recommended in China! The best AI tools in China are recommended, and even a beginner can easily get started! Have you often heard of "AI tools", but don't know which ones really work well? Don't panic! Today to give you a wave of domestic super practical AI tools, easy to operate, powerful, especially suitable for novice and student party! From writing copy, making p...

Many well-known AI products have emerged in China in recent years, and they have demonstrated strong capabilities in various fields. According to the product function, we can roughly divide them into the following categories: First, text and content creation: Baidu - Wenxin Yiyin: an AI product that specializes in long text generation...

Large-scale language modeling (LLM) is playing an increasingly important role in the field of artificial intelligence. In order to better understand and apply LLMs, we need to gain a deeper understanding of their core concepts. In this paper, we will focus on three key concepts, namely Token, Maximum Output Length, and Context Length, to help readers clear...

Recently, the terms Autonomous AI (Agentic AI), AI Agents, and Agents have appeared frequently in the public eye. Frankly, despite being data analysts and scientists, people in the industry used to have no idea what this...

In the fast-generating Internet industry, the importance of user interface (UI) design is becoming more and more prominent. An excellent UI design not only enhances the user experience, but is also one of the key elements of product success. However, for many front-end developers, UI design is not their specialty, and the output of the design is often...

Trae is divided into domestic and overseas versions, corresponding to different operating companies and websites. When you use Trae overseas in China, you will face the problem of not being able to log in or talk to the tool due to network blockage, so you just need to turn on the science tool globally. For those who don't want to use "science" but still want to use T...

Recently, Anthropic released the Claude 3.7 model, which has significant improvements in basic capabilities and code generation. Please refer to the Claude 3.7 Sonnet System Evaluation Report (Chinese version). In practice...

In recent years, Artificial Intelligence (AI) technologies have sparked a profound change in the programming field. From v0 and bolt.new to programming tools that integrate Agent technology, such as Cursor and Windsurf, AI Coding has demonstrated a significant role in the development of software...