AI Agent 
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
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university professors, and corporate researchers. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for the advancement of beginners. … Read more
Source: Deephub Imba This article is about 1400 words long and is suggested to be read in 5 minutes. Integrating ChatGPT and LLMs into various applications is just part of the potential of using language models. The emergence of ChatGPT and LLM technologies has led to these cutting-edge language models sweeping the world. Not only … Read more
In the past two weeks, projects like AutoGPT and BabyAGI have gained immense popularity. I spent some time over the weekend reviewing the code of these AI agent projects and decided to write an article summarizing my technical insights and thoughts on the current advancements in this field for everyone to discuss. From Language Understanding … 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
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
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
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
Pros and Cons of Popular Multi-Agent Orchestration Frameworks The topic of multi-agent systems in generative AI is heating up, with every major tech giant releasing some related frameworks. But which multi-agent framework should you choose? There are just too many options!! With OpenAI releasing Swarm and Microsoft’s Magentic-One, this field has become very crowded. Therefore, … Read more
Recommended Reading: Top 5 Frameworks for Building Multi-Agents and Their Usage How to Build a Universal LLM Agent 1. AutoGen (Microsoft)1.1 Features1.2 Limitations2. CrewAI2.1 Features2.2 Limitations3. LangGraph (LangChain)3.1 Features3.2 Limitations4. OpenAI Swarm4.1 Features4.2 Limitations5. Magentic-One (Microsoft)5.1 Features5.2 Limitations6. Framework Selection Recommendations This article provides a summary of the features and limitations of different Multi-Agent frameworks … Read more