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This guide focuses on catastrophic forgetting for production systems, with practical trade-offs for reliability, security, and cost.
Domain fine-tunes go feral: they ace your SDK suite and forget try/finally. Without a hold-out general pack, you ship a specialist idiot. Day 45 installs the gate.
⚡ TL;DR: Maintain a frozen general coding eval. Block deploy if general score drops beyond budget even when domain score rises. Plot base vs candidate on both axes.
python
def gate(scores: dict, budgets: dict) -> bool:
if scores["domain"] < budgets["domain_min"]:
return False
if scores["general"] < budgets["general_floor"]:
return False
if scores["general"] < budgets["general_baseline"] - budgets["max_drop"]:
return False
return True
catastrophic forgetting: production guidance
- [ ] Frozen general pack versioned
- [ ] Automated gate in training CI
- [ ] Max drop budget agreed
- [ ] Failure examples ticketed
- [ ] Base scores archived
- [ ] Pareto plots in the release notes
Series navigation
← Day 44 · Day 46 → Last updated September 11, 2026 Related: Designing a URL Shortener That Handles 100 Million Requests Per Day; Policy-as-Code for AI: OPA Checks Before Every Shell Execution; Day 76: p99 of Agents: Queueing, Not Just Model Latency.Watch: 100 Days of AI on YouTube
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