#debugging

Attention visualization reveals which tokens influence outputs. Debug why the model ignored critical context or fixated on irrelevant tokens.

Memory grows slowly over hours, then OOM. Here's how to find where the bytes are going before they crash your server.

Where does memory go in a 70B model deployment? How do you know if KV cache is your bottleneck? Here's the diagnostic playbook.

Model latency is 200ms. End-to-end latency is 800ms. Where did 600ms go? Probably somewhere you're not looking.

Your code says streaming is enabled. Your load balancer says otherwise. Here's where streaming breaks and how to fix it.