1. Install Python 1. Download the installation package You can download the Windows version installation package from the Python official website at: https://www.python.org/downloads/windows/ 2. After downloading, double-click the installation package to install it. During the installation process, you can choose whether to add Python to the system environment variables. 2. Download AutoGPT Code 1. If … Read more
Automating Task Management with AutoGPT Do you want AI to help you manage tasks? AutoGPT is such a magical tool that can think, plan, and execute tasks on its own, just like having an AI assistant. Today, let’s talk about how to use AutoGPT to achieve fully automated task management, boosting your work efficiency significantly. … Read more
The Microsoft AutoGen open-source framework Magentic-One CLI is designed for high-level planning, guiding other Agents, and tracking task progress. It features a layered architecture with multiple software interfaces to meet different scenario requirements. Using Magentic-One CLI Core Design Philosophy: The process is as follows: The operation of Magentic-One is based on a multi-Agent architecture, where … Read more
MetaGPT is a groundbreaking open-source project that simulates the complete operation process of a software company through a multi-agent system. The project has not only gained recognition in academia (ICLR 2024 oral presentation, top 1.2%) but also demonstrates strong practical application value. By organizing large language models (LLM) into different professional roles, MetaGPT can transform … Read more
In today’s rapidly changing technological world, artificial intelligence has become an important component in many industries. To help developers and businesses utilize this technology more efficiently, the Phidata framework has emerged. Phidata is an open-source framework dedicated to building multi-modal agents, solving real-world problems through the intelligence and tools of this platform. Whether it’s handling … Read more
• Hello everyone, I am student Xiao Zhang, sharing AI knowledge and practical cases daily. • Welcome to like + follow 👏, continue learning, and continuously output practical content. • +v: jasper_8017 let’s communicate 💬 and improve together 💪. Overview of Articles on Official Account Today we continue to learn the basic content of LangGraph. … Read more
In the official example, chain = NebulaGraphQAChain.from_llm(ChatOpenAI(temperature=0), graph=graph, verbose=True) is used to retrieve from the NebulaGraph database. This article introduces the idea and implementation of replacing ChatOpenAI with GPT2, without considering the performance for now. The reason for not using ChatGLM2 is due to the slow model loading and debugging inconvenience, but replacing GPT2 with … Read more
Today we will discuss multi-turn dialogues, and we will write a program that allows users to engage in multi-turn dialogues with one or more agents. We will still use interrupt to get the user’s input and then return to the active agent node. An agent can serve as a node in a graph, executing agent … Read more
In the previous article, we practiced a [RAG (Retrieval Augmented Generation) system implemented with `langgraph`]. This article will build upon that by adding an automatic chat history logging feature. Additionally, we will use an `Agent` to achieve almost the same functionality. Let’s explore the differences between implementing the `RAG system` using `langgraph` and `Agent`. – … Read more
In LangGraph, <span>State</span> is a core concept used to save and share context information in complex tasks or dialogue systems. Here is a detailed explanation of <span>State</span>: 1.Definition of State <span>State</span> is a shared data structure used in LangGraph to represent the current snapshot of the application. It can be any Python type, but is … Read more