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Portability or ‘don’t marry your mannequin’
Andy Oliver is right: “The most recent GPT, Claude, Gemini, and o-series fashions have completely different strengths and weaknesses, so it pays to combine and match.” Not solely that, however the fashions are in fixed flux, as is their pricing and, very seemingly, your enterprise’s danger posture. As such, you don’t need to be hardwired to any specific mannequin. If swapping a mannequin means rewriting your app, you solely constructed a demo, not a system. You additionally constructed an issue. Therefore, profitable deployments comply with these rules:
- Summary behind an inference layer with constant request/response schemas (together with instrument name codecs and security alerts).
- Hold prompts and insurance policies versioned exterior code so you possibly can A/B and roll again with out redeploying.
- Twin run throughout migrations: Ship the identical request to outdated and new fashions and examine by way of analysis harness earlier than slicing over.
Portability isn’t simply insurance coverage; it’s the way you negotiate higher with distributors and undertake enhancements with out worry.
Issues that matter lower than you suppose
I’ve been speaking about how to make sure success, but certainly some (many!) individuals who have learn up up to now are pondering, “Certain, however actually it’s about immediate engineering.” Or a greater mannequin. Or no matter. These are AI traps. Don’t get carried away by: