In this blog post, we learn about Spirent’s approach to using agents to process information, prioritize root causes, and deliver solutions to customers.
Spirent utilizes a team of agents, each specializing in different tasks such as processing PCAP files, understanding configurations, and prioritizing root causes to provide a complete workflow for customers.
The key to minimizing incorrect information and hallucination in AI is by reducing the reliance on large language models (LLMs) and incorporating domain knowledge into the solution. Spirent focuses on building deterministic rule sets tied to protocol stack behavior to achieve accurate outputs.
