A professional community focused on AIGC, following the development and application of large language models (LLMs) like Microsoft & OpenAI, Baidu Wenxin Yiyan, and iFlytek Spark, with a focus on market research and the AIGC developer ecosystem. Welcome to follow! How long does it take to develop a prototype application for a voice AI agent? … Read more
In the field of AIGC (Artificial Intelligence Generated Content), developing a fully functional voice agent application prototype typically takes several days or even weeks. However, OpenAI has just open-sourced a multi-level advanced AI Agent project developed based on the Realtime API on GitHub, completing the development from concept to prototype in just 20 minutes! This … Read more
How long does it take to develop a voice intelligent agent application prototype? 3 days? 5 days? OpenAI has just shared a multi-layer advanced AI Agent developed based on the Realtime API, taking only 20 minutes! OpenAI has made the source code public on GitHub. Although it is just a demo, it has quickly surpassed … Read more
Introduction ChatGPT is incredibly powerful! OpenAI’s CEO Sam Altman stated directly: this is our most powerful model to date! It performs comparably to humans on various professional and academic benchmarks! It must be said that since the launch of ChatGPT, Microsoft has won several rounds in the tech battle against Google. This article introduces an … Read more
Click OpenAI has shared a multi-level advanced AI Agent developed based on the Realtime API, which allows you to develop a voice intelligent agent application prototype in just 20 minutes! The source code is now publicly available on GitHub. (See code at the end) 1 Realtime Agent Technical Features The Realtime Agent provides efficient data … Read more
Hello everyone, I am Xuan Jie. Before we start the main content, let me advertise myself. The Spring Festival is coming soon, to give back to the support of my fans the original price of the “3-Day AI Agent Project Practical Live Training Camp” is 199 yuan, now directly reduced to 19 yuan, today we … Read more
When using large language models, achieving stable performance usually only requires a good prompt and the right tools. However, dealing with many unique processes can become tricky. To address this, OpenAI published a blog post on their official website titled “Orchestrating Agents: Routines and Handoffs”, which introduces the concepts of Routines and Handoffs. The code … Read more
Swarm is an innovative open-source framework designed to explore the orchestration and coordination of multi-agent systems. Developed and maintained by the OpenAI Solutions team, it provides developers with a lightweight, ergonomic, and educational environment for learning and experimenting with agent-based systems. The core design goal of Swarm is to facilitate interaction among autonomous agents (i.e., … Read more
OpenAI open-sourced an educational multi-agent collaboration framework called Swarm in October 2024. This article starts from the source code of Swarm, gradually introducing how to write a similar multi-agent framework and illustrating how agents can enhance business quality and efficiency through six application cases. Table of Contents: Agent Class Response Class Result Class Swarm Class … Read more
Introduction This article will introduce a research-oriented topic regarding the observability of Multi-Agent Systems. Currently, our work is primarily based on the Swarm project released by OpenAI last month, where we analyzed the source code of the Swarm project and customized modifications to achieve better observability of multi-agent systems. Today’s discussion will revolve around three … Read more