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In the article "From AI to IA, Whoever Masters Agents Masters the World", we explored how the core driving force behind the explosive development of the AI era is the paradigm shift in industrial applications brought about by multi-agent collaboration. From intelligent question answering to task execution, Agents are bringing AI to real-world applications in vertical fields, creating new business models. Multi-agent collaboration (InterAgent) should follow a specific standard framework to achieve maximum scalability and interoperability. Based on our theoretical exploration and practical experience, we attempt to outline this framework here.

Baidu announced today the full launch of Miaoda, its domestically pioneered conversational application development platform. This platform allows users to describe their needs using natural language, enabling the system to automatically generate application code with complete functionality, marking a significant breakthrough in the field of no-code development tools.

Generating charts that accurately reflect complex data remains a subtle challenge in today's data visualization landscape. Charts require not only precise layout, color, and text placement, but also the translation of these visual details into code to reproduce the intended design. However, traditional methods often rely on directly prompting vision-language models (VLMs), such as GPT-4V, which frequently struggle to translate complex visual elements into grammatically correct Python code. Even minor errors can result in charts failing to meet their design objectives.

At the 2024 Baidu World Conference, Baidu introduced an innovative no-code tool called 'MiaoDa', personally launched by Baidu founder Robin Li. This tool integrates three core functionalities: no-code programming, multi-agent collaboration, and multi-tool invocation, and was hailed by Robin Li as 'the most complex multi-agent collaboration tool in human history.'