How can agents build AI model pipelines?
Bel Esprit: Multi-Agent Framework for Building AI Model Pipelines
December 20, 2024
https://arxiv.org/pdf/2412.14684Bel Esprit is a multi-agent system that helps build pipelines of AI models based on user requests, like creating a system for multilingual video dubbing. It uses multiple AI agents that work together to clarify user requests, build the pipeline, check for errors, and select the best AI models for the job.
Key points for LLM-based multi-agent systems:
- Multi-agent collaboration: Different LLM agents (Mentalist, Builder, Inspector, Matchmaker) handle distinct tasks in building and refining the AI pipeline.
- Iterative refinement: The system uses a loop where the Builder creates a pipeline, the Inspector checks for errors, and the Builder revises until the pipeline is correct.
- Chain-of-branches: Complex pipelines are built step-by-step, branch by branch, to reduce errors and make the process more manageable.
- Handling ambiguity: The Mentalist agent clarifies ambiguous user requests by asking clarifying questions and converting them into structured specifications.
- Generic LLMs for fallback: When a specific AI model isn't available for a task, a general-purpose LLM with a custom prompt can be used as a fallback.
- Script generation: For simple tasks not suited for LLMs, the system can generate scripts using another LLM.