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Prioritize Reliability over Customization
Developing custom AI models can be less effective than leveraging existing models, especially when those models are rapidly evolving. Ensuring safety and reliability is paramount in a high-stakes environment, as even minor inaccuracies can have significant consequences. Implementing existing models with necessary adaptations can yield more dependable outcomes than building from scratch.