https://fortinetcloudcse.github.io/faig-training-workshop/01_environment_setup/01_setting_up_the_llm.htmlLLM and Chatbot Setup FortiAIGate is designed to provide visibility as well as guardrails around LLM so we will need an LLM to protect. The following steps will walk you through using helm to setup and configure the required pods (containers) to run our own LLM within our K8s cluster. Info While this demo shows FortiAIGate protecting an internal, or self-hosted LLM, it can also be used to protect external LLMs like OpenAI, Anthropic, AWS Bedrock Converse, and Azure AI Foundry. Protection of these environments allows customers to avoid unnecessary token spend on unauthorized or malicious requests. Just keep in mind anywhere you see LLM, that means it can be _any_ supported LLM. Helper Containers The FortiAIGate demo consists of three containers that allow the demo to function.Hugoen-US