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Question 111/192
Consider a scenario where you are developing a multimodal A1 system to translate sign language videos into text. The system utilizes a CNN for processing video frames and an RNN for generating the text sequence. During evaluation, you observe that the system struggles to accurately translate signs that involve complex hand movements or subtle facial expressions. What are the MOST effective strategies to improve performance in this specific scenario? (Select TWO)
Correct Answer: C,E
3D CNNs are designed to capture spatial-temporal information, which is essential for recognizing complex hand movements. Data augmentation helps the model generalize to different conditions and variations in signing style. Reducing frame rate (A) would likely worsen performance. Replacing the RNN with a feed forward network (D) would remove the ability to model sequential information, which is critical for translation. Increasing the depth of the CNN (B) might help, but a 3D CNN is more directly suited to the task.
- Question List (192q)
- Question 1: You are working on a multimodal emotion recognition system t...
- Question 2: You are working on a generative A1 model that creates descri...
- Question 3: Consider the following code snippet used within a U-Net arch...
- Question 4: Which statistical method is most appropriate for evaluating ...
- Question 5: When deploying a multimodal Generative A1 model for a real-t...
- Question 6: You're building a multimodal model that takes an image and a...
- Question 7: You are training a multimodal Generative A1 model for genera...
- Question 8: You are optimizing a multimodal model for deployment on an e...
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- Question 10: You are tasked with evaluating a text-to-video generation mo...
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- Question 12: You are working on a multimodal model for video captioning, ...
- Question 13: When training a multimodal model with both text and image da...
- Question 14: Consider the following code snippet which aims to create a c...
- Question 15: When working with geospatial data in conjunction with text d...
- Question 16: You're evaluating the performance of a video captioning mode...
- Question 17: You are building a multimodal generative AI model to create ...
- Question 18: You are tasked with integrating a CLIP model into your appli...
- Question 19: You have trained a multimodal model to generate descriptions...
- Question 20: You're working with a multimodal model that fuses text and i...
- Question 21: You're fine-tuning a pre-trained multimodal model for a spec...
- Question 22: Consider the following code snippet used for creating a mult...
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- Question 26: You are building a generative AI model that creates realisti...
- Question 27: Which of the following evaluation metrics is MOST appropriat...
- Question 28: You are building a Generative Adversarial Network (GAN) to g...
- Question 29: You are working on a project that involves generating music ...
- Question 30: You are working with a multimodal model that combines text a...
- Question 31: You have trained a multimodal model for visual question answ...
- Question 32: You are building a conditional GAN (cGAN) to generate images...
- Question 33: Consider the following PyTorch code snippet intended for tra...
- Question 34: You are working on a multimodal sentiment analysis task wher...
- Question 35: A financial institution aims to detect fraudulent transactio...
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- Question 37: You have developed a multimodal model that predicts stock pr...
- Question 38: You're working on a multimodal AI system that combines text ...
- Question 39: You are fine-tuning a pre-trained Generative A1 model for a ...
- Question 40: Consider the following Python code snippet used for processi...
- Question 41: You're developing an Avatar Cloud Engine (ACE) application t...
- Question 42: You are training a multimodal generative A1 model for image ...
- Question 43: You are working with a large dataset of images for training ...
- Question 44: Which of the following are potential benefits of using multi...
- Question 45: You are working with a dataset of handwritten digits and tra...
- Question 46: When evaluating a multimodal generative model, which of the ...
- Question 47: Consider this Python code snippet using PyTorch:...
- Question 48: A multimodal A1 model is trained on a dataset containing bia...
- Question 49: You are tasked with integrating a CLIP model into your appli...
- Question 50: Which of the following are key challenges specific to traini...
- Question 51: You're developing a multimodal A1 system that takes image da...
- Question 52: Consider a generative AI model that combines text and audio ...
- Question 53: You're tasked with building a system that can generate reali...
- Question 54: Which of the following is NOT a common challenge in training...
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- Question 68: Which of the following loss functions is MOST suitable for t...
- Question 69: You are evaluating two different generative A1 model archite...
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- Question 77: Consider a scenario where you're training a generative A1 mo...
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- Question 79: You are tasked with optimizing a multimodal model that combi...
- Question 80: You are tasked with building a multimodal generative AI mode...
- Question 81: You are training a text-to-image diffusion model and observe...
- Question 82: You're training a multimodal model for image and text retrie...
- Question 83: You're using a pre-trained multimodal model that combines vi...
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- Question 85: Consider the following PyTorch code snippet used for trainin...
- Question 86: You are using a pre-trained language model for text classifi...
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- Question 94: Consider a scenario where you are building an autoencoder us...
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- Question 100: You are training a conditional generative model to generate ...
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- Question 113: You are tasked with fine-tuning a pre-trained multimodal mod...
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