<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Use Case 6: Intelligent Routing - How to Deply and Use FortiAIGate</title><link>https://fortinetcloudcse.github.io/faig-training-workshop/04_demo_fortiaigate/06_use_case_6.html</link><description>Intelligent Routing The last use case within this section covers using the “Intelligent Routing” functionality within the FortiAIGate to inspect the input from the user and then based on the detected content of the prompt make a decision on which LLM to route the prompt to. The “Intelligent Routing” can detect what language the prompt is written in and redirect it to an LLM that is trained in that language (i.e. French could be sent to Mistral LLM as it is a French native LLM). The system also has the ability to detect the language code is written in and send that to an LLM that is good at processing programming languages (i.e. Anthropic based frontier models like Opus).</description><generator>Hugo</generator><language>en-US</language><atom:link href="https://fortinetcloudcse.github.io/faig-training-workshop/04_demo_fortiaigate/06_use_case_6/index.xml" rel="self" type="application/rss+xml"/></channel></rss>