VentureBeat November 24, 2024
In our first installment, we outlined key strategies for leveraging AI agents to improve enterprise efficiency. I explained how, unlike standalone AI models, agents iteratively refine tasks using context and tools to enhance outcomes such as code generation. I also discussed how multi-agent systems foster communication across departments, creating a unified user experience and driving productivity, resilience and faster upgrades.
Success in building these systems hinges on mapping roles and workflows, as well as establishing safeguards such as human oversight and error checks to ensure safe operation. Let’s dive into these critical elements.
Safeguards and autonomy
Agents imply autonomy, so various safeguards must be built into an agent within a multi-agent system to reduce errors, waste, legal exposure or harm...
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