How are you maintaining your AI apps post-launch? Model bugs vs engineering bugs, and what's your debugging stack?
I've been going down a rabbit hole tinkering about what actually happens after you ship an LLM-powered app, and I'd love to hear how others here handle it… A few things I keep getting stuck on: Continuous optimization. O
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