Learn AI Agent Development in 11 Days: Day T+6 – Build Your Virtual Social Kingdom with MetaGPT

Learn AI Agent Development in 11 Days: Day T+6 - Build Your Virtual Social Kingdom with MetaGPT

IntroductionHave you ever thought about how AI can not only chat and draw but also socialize freely in a virtual world and host parties? The MetaGPT Stanford Town module takes you into an AI virtual world full of infinite possibilities! This article will guide you step by step on how to quickly set up and … Read more

CMAT: A 1.8B Agent Model Comparable to GPT-3.5

CMAT: A 1.8B Agent Model Comparable to GPT-3.5

CMAT: A 1.8B Agent Model Comparable to GPT-3.5 Release Date: April 2, 2024 Agent Artificial Intelligence Abstract Open large language models (LLMs) have greatly advanced natural language processing technology, excelling in numerous tasks. However, the effective use of LLMs still relies on human guidance to ensure smooth dialogue. Agent tuning techniques play an important role … Read more

Understanding the MemGPT Design of aZent Framework

Understanding the MemGPT Design of aZent Framework

Before getting into the main topic, let’s chat a bit. Many friends have seen me coding in my spare time. Sometimes I wonder why I do this; actually, my love for code has reached a somewhat obsessive level. There might be some bragging involved. Without further ado, everything has been revolving around agents lately, and … Read more

Embodied Intelligence and Multi-modal Language Models: Is GPT-4 Vision the Strongest Agent?

Embodied Intelligence and Multi-modal Language Models: Is GPT-4 Vision the Strongest Agent?

Author: PCA-EVAL Team Affiliation: Peking University & Tencent Abstract: Researchers from Peking University and Tencent have proposed the PCA-EVAL multi-modal embodied decision-making intelligence evaluation set. By comparing end-to-end decision-making methods based on multi-modal models with tool invocation methods based on LLMs, it has been observed that GPT-4 Vision demonstrates outstanding end-to-end decision-making capabilities from multi-modal … Read more

AgentGPT: A Tool for Custom AI Model Configuration

AgentGPT: A Tool for Custom AI Model Configuration

AI Model Tool Payment channels available in over 200 countries and regions, please choose freely! AgentGPT is a free and open-source autonomous artificial intelligence agent tool that allows users to assemble, configure, and deploy AI agents in the browser. Here is a detailed introduction to AgentGPT: Product Introduction AgentGPT is an innovative open-source project aimed … Read more

Exploring the Technical Principles of OpenAI O1

Exploring the Technical Principles of OpenAI O1

Introduction Three months ago, OpenAI launched its latest work – OpenAI O1, which quickly became a hot topic in the AI community. The biggest highlight of OpenAI O1 is its ability to reason like humans, meaning it can not only simply match known data patterns when dealing with complex problems, but also execute a process … Read more

Unveiling the Tech Stack Behind ChatGPT: How OpenAI Scaled Kubernetes to 7500 Nodes

Unveiling the Tech Stack Behind ChatGPT: How OpenAI Scaled Kubernetes to 7500 Nodes

Author | OpenAI Translator | Sambodhi Editor | Xu Qian In this article, OpenAI’s engineering team shares various challenges and solutions they encountered during the Kubernetes cluster scaling process, as well as the performance and effects they achieved. We have scaled our Kubernetes cluster to 7500 nodes, creating a scalable infrastructure for large models like … Read more

OpenAI Source Code Unveiled! Real-Time AI Agent in 20 Minutes

OpenAI Source Code Unveiled! Real-Time AI Agent in 20 Minutes

In just 20 minutes, OpenAI showcased the astonishing real-time API multi-level AI Agent prototype. This achievement is truly breathtaking, as if a door to a new world of artificial intelligence has been opened in an instant. What’s even more remarkable is that its source code is already available on GitHub, which means developers worldwide can … Read more

Multi-Agent Collaboration Mechanisms: A Review of Large Language Models

Multi-Agent Collaboration Mechanisms: A Review of Large Language Models

With the latest advancements in large language models (LLMs), agentic artificial intelligence (Agentic AI) has made significant progress in real-world applications, moving towards intelligent agents based on multiple large language models that achieve perception, learning, reasoning, and collaborative actions. These multi-agent systems (MASs) based on large language models enable a group of agents to collaborate … Read more