In a deployment-readiness check for an AI service, the associate must avoid a tempting neighboring-topic answer. Which recommendation best addresses multimodal training stability?

AFocus only on client progress reporting and ignore model architecture, losses, and training stability.

BReplace residual-connection and nonsequential-network knowledge with data-consent review.

CTreat prompt engineering as unrelated to achieving desired generative AI results.

DPrioritize controlling training stability in multimodal settings and keep the work in Core Machine Learning and AI Knowledge.

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