Beyond single-model AI: How architectural design drives reliable multi-agent orchestration
1 min read
Summary
As artificial intelligence (AI) continues to evolve at pace in the face of numerous obstacles, getting multiple specialised AI agents to collaborate well is the key to success in this field, according to an article in VentureBeat.
However, the article warns, the most important part of making that collaboration work is not necessarily in the agents themselves, but rather the “orchestration” of them, which is often a much greater challenge.
It identifies five key areas which are crucial to getting it right in AI orchestration: choosing how agents will coordinate, managing their collective brain (shared state), building for when stuff goes wrong (error handling and recovery), ensuring consistent task execution, and having the right essential infrastructure toolbox.