NCA-GENM Exam Dumps | You are building a multimodal model to generate realistic dialogues between virtual characters in a game.

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Question 58/192

You are building a multimodal model to generate realistic dialogues between virtual characters in a game. The model takes as input the current game state (including character positions, objects, and environment), the character's personality profile (text), and the previous dialogue utterances (text and audio). What specific techniques can you employ to ensure that the generated dialogues are contextually relevant, coherent, and emotionally appropriate?

A. Use reinforcement learning to train the model to maximize a reward function that reflects the desired dialogue characteristics (e.g., coherence, emotional appropriateness).

B. Incorporate attention mechanisms that allow the model to selectively focus on the most relevant aspects of the game state and character personality profile.

C. Implement a hierarchical dialogue generation architecture that first plans the overall dialogue structure and then generates individual utterances.

D. Train each mode separately to achieve the best result and them merge at the end.

E. All of the above. Except D

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