Enterprise inference inertia: why older models stay deployed
HanchungLee · x · 2026-08-24
The post discusses enterprise AI deployment inertia, suggesting that once a specific model solves a problem and is pinned in production, there's little incentive to upgrade. Enterprises prioritize stability and verified functionality over newer models. The author recalls MPT7B's dominance due to its open-source commercial license, noting that if it works, companies stick with it rather than chasing updates.
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