TLDR Tech / AI
Everyone Is Wrong About Open Source AI in the Enterprise
Decagon runs roughly 90% of its workloads on open-source models because small, heavily fine-tuned models deliver the latency and task-specific performance required for customer service agents. Most enterprise AI use cases remain early-stage, so companies favor frontier models that maximize flexibility and intelligence. As deployments mature and workflows stabilize, many production workloads will likely migrate from closed models to specialized open-source alternatives.
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