The Reliability pillar within our well-architected framework ensures the establishment of a highly dependable LLMOps based AI system, empowered by excellent platform level visibility, end to end traceability and system level performances. Additionally, any platform-level issues and concerns are actively monitored, prioritized and swiftly addressed by the responsible SRE, DevOps, or Engineering team. All involved parties should agree to a predefined SLA to guarantee a highly accessible LLM platform for the principal stakeholders.
The FM or LLM observability Building Block:
The LLM Observability platform is a crucial component that ensures the reliability of your system for users. This observability layer continuously monitors the ML Ops system from end to end, detecting any issues related to ML clusters, model drift, hallucinations, problematic prompts, prompt injection by end users, and...