Five nines of wrong: Detecting drift and errors in AI systems

Uptime used to mean reliability. But in the LLM era, five nines just means your liar is always available. Real reliability now includes correctness and that means probing models in real time with prompts that have known answers. When those slip, your delivery fabric has to reroute before customers find out. 

In this episode F5's Lori MacVittie, Joel Moses, and returning guest Garland Moore dig into why availability isn’t enough anymore, and how research like “Get my drift? Catching LLM Task Drift with Activation Probes” shows where semantic health checks fit in the new definition of reliability. How do you keep AI outputs accurate even when external data sources introduce bias, errors, or malicious prompts? Listen now to find out.

Read the paper, Get my drift? Catching LLM Task Drift with Activation Deltas: https://arxiv.org/abs/2406.00799