—1— Top 5 Multi-Agent Frameworks In the era of AI large models, Multi-Agent technology is increasingly capturing the attention of major tech giants. With the launch of frameworks such as OpenAI’s Swarm and Microsoft’s Magentic-One, the development in this field has become more intricate. Choosing the most suitable Multi-Agent framework that meets the specific needs … Read more
Hey everyone! This is a channel focused on AI agents~ How long do you think it takes to develop a voice agent application prototype? 3 days? 5 days? Today, OpenAI provided an answer: 20 minutes! That’s right, just yesterday, OpenAI officially released a multi-level advanced AI Agent reference implementation based on the Realtime API. This … Read more
With the rapid development of artificial intelligence technology, multi-agent systems have gradually become a new favorite for research and application. OpenAI’s Swarm tool undoubtedly injects strong momentum into this field. Today, I will share my insights on using Swarm to develop multi-agent applications, helping you easily master this revolutionary tool. 1. Introduction to OpenAI Swarm … Read more
Author: Chen Dihao — Senior Engineer at SF Technology AI Platform Responsible for AI and large model infrastructure functions at SF Group, previously served as platform architect at Fourth Paradigm and PMC for OpenMLDB project, and has been an architect for Xiaomi’s cloud deep learning platform and head of storage and container team at USTC. … Read more
More AI Open Source Tools: https://www.aiinn.cn/ Phidata is a framework for building multi-modal agents. Using Phidata, you can: build multi-modal agents with memory, knowledge, tools, and reasoning. Establish a team of agents that can collaborate to solve problems. Chat with your agents using a beautiful Agent UI. 16200 Stars 2200 Forks 28 Issues 82 Contributors … Read more
Exploring the World of Multimodal Agents: Introduction to the Phidata Framework With the development of artificial intelligence technology, the application of multimodal agents is becoming increasingly widespread. Phidata, as a powerful framework, allows users to build multimodal agents with memory, knowledge, tools, and reasoning capabilities. This article will delve into the features, application scenarios, and … Read more
Follow the official WeChat account “Full Stack AI Knowledge” Set it as “Starred” to learn something new every day Today, we will kick off a new series of tutorials to help you build your own AI assistant. This tutorial will focus on Phidata, starting with building a daily AI assistant and moving on to tool … Read more
Meow! In the previous article, we used Tongyi Qianwen to create an intelligent customer service agent with four major functions through four system-level prompts. This article will build an upgraded agent based on calling Tongyi Qianwen and combining it with Llama-Index. First, let’s implement the simplest example using ReActAgent and Functional Tool to create a … Read more
The Ultimate Combination: HuggingFace + ChatGPT — HuggingGPT is here! Source | Quantum Bit Just give it an AI task, such as “What animals are in the picture below, and how many of each are there?” It can automatically analyze which AI models are needed, and then directly call the corresponding models from HuggingFace to … Read more
Source: Programmer Yupi Author: Yupi Following the recent popularity of ChatGPT, another explosive open-source project <span>Auto-GPT</span> has emerged. In just the last 10 days, this project has gained over 80,000 stars, with a total star count exceeding 100,000! So what exactly is Auto-GPT? Why is it so popular? How can it be used and deployed? … Read more