NCA-GENM Exam Dumps | You are building a multimodal application that takes an image and a text prompt as input to generate

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Question 174/192

You are building a multimodal application that takes an image and a text prompt as input to generate a modified image. The image is of a cat, and the text prompt is 'wearing a hat'. Which of the following models or techniques would be MOST suitable for achieving this task efficiently and effectively?

A. A large language model (LLM) fine-tuned solely on text data.

B. A Vision Transformer (ViT) trained only on image classification tasks.

C. A diffusion model conditioned on both image and text embeddings, such as Stable Diffusion or DALL-E 2.

D. A simple convolutional neural network (CNN) for image classification.

E. A recurrent neural network (RNN) for sequence modeling.

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