用对话式多智能体构建AI模型流水线，让非专业人士也能组装复杂AI系统。
Bel Esprit: Multi-Agent Framework for Building AI Model Pipelines
- 通过多个协作智能体理解用户需求并设计模型流程。
- 能从模糊提问生成有效流水线，支持人工与合成数据验证。
- 适合希望快速搭建复杂AI应用的开发者或业务人员。
随着人工智能在解决复杂现实任务中的需求增长，单一模型往往难以胜任，需要将多个模型整合为流水线。本文提出Bel Esprit，一种基于用户需求构建AI模型流水线的对话式智能体。Bel Esprit采用多智能体框架，由子智能体协作完成需求澄清、流水线构建、验证及模型填充。我们通过人工标注和合成数据证明该框架在处理模糊用户查询时的有效性。详细错误分析揭示了流水线构建中的现存挑战。Bel Esprit已开放免费试用：https://belesprit.aixplain.com。
原文摘要 · Abstract (English)
As the demand for artificial intelligence (AI) grows to address complex real-world tasks, single models are often insufficient, requiring the integration of multiple models into pipelines. This paper introduces Bel Esprit, a conversational agent designed to construct AI model pipelines based on user-defined requirements. Bel Esprit employs a multi-agent framework where subagents collaborate to clarify requirements, build, validate, and populate pipelines with appropriate models. We demonstrate the effectiveness of this framework in generating pipelines from ambiguous user queries, using both human-curated and synthetic data. A detailed error analysis highlights ongoing challenges in pipeline construction. Bel Esprit is available for a free trial at https://belesprit.aixplain.com.
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