A Multi-Agent System for Complex Tasks About a week ago, Microsoft released a new intelligent system called Magentic-One, aimed at “solving complex tasks,” which seems to have gone unnoticed. With the recent discussions surrounding the capabilities of Anthropic’s computing, Microsoft appears to want to re-establish its credentials in this area. In this article, we will … 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
One important capability of LLMs (Large Language Models) is their ability to generate code based on user requirements. This greatly improves engineers’ efficiency. LLMs also possess strong task understanding and decomposition abilities. Given a topic, they can summarize the key points and provide satisfactory analytical responses for each node. However, LLMs currently have many limitations, … Read more
Introduction In my work, I need to use AI Agents, so I need to delve deeper into AI Agents. Reading various articles alone often feels insufficient for understanding the details. Therefore, I started looking at various open-source projects related to AI Agents. This is the first article where I will study the source code of … Read more
Overview of Articles in Official Account If you have any questions, feel free to add WeChat: jasper_8017. Looking forward to discussing and progressing together with like-minded friends! Follow👇 the official account to learn AI technology together! Series Articles [The Future of AI – AI Agent Series][MetaGPT] 0. Your First MetaGPT Program: Write a Mini Game … Read more
Overview of Articles in the Official Account If you have any questions, feel free to add WeChat: jasper_8017. Looking forward to discussing and progressing together with like-minded friends! Follow 👇 the official account and learn AI technology together! In the article 【The Future of AI – AI Agent Series】【MetaGPT】2. Implementing Your First Agent, we have … Read more
Hello everyone, I am Student Xiao Zhang, continuously learning C++ advanced knowledge and practical cases of AI large models. I will keep sharing, and welcome everyone to like + follow for mutual learning and progress. This article will explore a practical case of MetaGPT – the Werewolf game. The source code for this case can … Read more
Hello everyone, I am 【Student Xiao Zhang】. Continuous learning and continuous output of practical knowledge, follow me, and let’s learn AI large model technology together! Overview of Articles in Official Account If you have any questions, feel free to add me on WeChat: jasper_8017. Looking forward to discussing and progressing together with like-minded friends! Previously, … Read more
LLMs are not perfect when calling tools. Models may attempt to call non-existent tools or fail to return parameters that match the requested schema. Strategies such as keeping the schema simple, reducing the number of tools passed at once, and using good names and descriptions can help mitigate this risk, but they are not foolproof. … Read more
LangGraph allows you to easily manage conversation memory in graphs. These operational guides demonstrate how to implement various strategies for this. Managing Conversation History One of the most common use cases for persistence is using it to track conversation history. It makes continuing conversations easier. However, as conversations get longer, this conversation history accumulates and … Read more