AI & Machine Learning

From Monolith to Multi-Agent: How We Scaled Our LLM Architecture

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Toucan has transitioned from a single large language model (LLM) approach to a multi-agent architecture for their AI assistant, improving predictability and maintainability. This shift involves an orchestrator that delegates tasks to specialized agents, each handling specific functions like query building or data visualization, making the system more scalable and easier to debug for developers.

Read the full article at Towards AI - Medium

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