What is the primary benefit of using pre-built AI models?

Correct answer: Reduce development time and cost by leveraging existing trained models instead of building from scratch

Option C is correct because pre-built AI models have already been trained on large datasets by vendors with substantial compute resources, so developers can integrate them via APIs or fine-tune them without building or training from scratch, significantly lowering time-to-production and infrastructure cost. Option A is incorrect because model inference speed and network latency are distinct concerns; using a pre-built model has no inherent effect on internet connection speed. Option B is incorrect because pre-built models still require relevant data for fine-tuning, evaluation, and validation, and they always required data during their original training; data is not eliminated. Option D is incorrect because no model guarantees perfect accuracy; pre-built models have known error rates and biases that must be evaluated and mitigated for each specific use case.