Reported by New Intelligence Editor: LRS [New Intelligence Overview] Allow language models to solve problems automatically, letting users take a backseat. The wave of AI driven by ChatGPT has ushered us into the era of artificial intelligence, where language models have become indispensable tools in daily life. However, current language models can only respond to … Read more
Recently, Microsoft Research released a paper discussing an innovative multi-agent collaboration framework: Magentic-One. It is a general-purpose agent system designed to efficiently handle complex workflows by coordinating multiple dedicated AI agents. The system architecture of Magnetic-One is as follows, where the red part represents the brain of the entire framework, the Orchestrator, responsible for task … Read more
With the rapid development of large models and agent-related technologies, major tech companies are quickly entering the multi-agent era, aiming to help humans handle complex tasks and free up their hands! Microsoft has recently launched the Magentic-One multi-agent framework, built on AotoGen, which not only can converse with humans but also can control computers 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
Recently, Microsoft launched a new multi-agent system called Magentic-One, designed specifically to solve complex, open-ended tasks, particularly excelling in web and document operations. Clear Division of Labor, Each Showing Their Skills The biggest highlight of Magentic-One is its multi-agent architecture. This architecture differs from traditional single-agent systems; Magentic-One is equipped with multiple specialized agents, each … Read more
New large language models continue to emerge.However, over time, concerns about whether the development of large language models has peaked are gradually rising.Today, industry leaders believe that the development of artificial intelligence is shifting from the research phase of foundational large models to the application development phase of large models.Although the direction of development is … 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
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
Follow “GitHub Picks“, set as “Star“ Explore Interesting Open Source Projects Hello everyone, it’s nice to see you again! I am the GitHub Picks guy! Background Introduction In the software development process, we often face the challenge of handling complex tasks and collaboration among multiple people. How to assign different GPT models to different roles … Read more