Agents9h ago
Self-Healing Multi-Agent System Automates ML Pipelines
A five-agent architecture now generates end-to-end machine learning pipelines from natural-language goals. The system uses RAG for microservice selection and a self-healing mechanism to fix execution errors via LLM-based interpretation. Evaluated on 150 tasks, this framework reduces manual pipeline construction. It enables practitioners to deploy robust ML workflows with minimal coding.