Hello everyone, I am 【Student Xiao Zhang】. Continuous learning and output of practical knowledge, follow me to learn AI large model technology together! Overview of Articles on Public 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! This series of … Read more
—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
Content Source: https://cookbook.openai.com/examples/orchestrating_agents https://github.com/openai/swarm?tab=readme-ov-file AI Multi-agent Concept and Origins When using language models, achieving stable performance usually only requires a good prompt and the right tools. However, things can get tricky when dealing with many unique processes. Basic Concepts: 1.Routines: The concept of a routine is not strictly defined, but is intended to capture the … Read more
Quick Overview:This article lists the pros and cons of five major multi-agent AI frameworks: AutoGen (Microsoft), LangGraph (LangChain), CrewAI, OpenAI Swarm (OpenAI), and Magentic-One (Microsoft), and explains which agent framework excels in different usage scenarios. Editor’s Note: The current development of AI technology is advancing rapidly, and multi-agent frameworks are emerging like mushrooms after rain. … 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
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