NCA-GENM Question 52
Select 3You are tasked with building a multimodal generative AI model that combines image and text modalities. The development involves selecting a deep learning framework. Which of the following features of TensorFlow and PyTorch make them suitable for this task?
- A
Both frameworks support dynamic computation graphs for flexible model definition.
- B
PyTorch has advanced support for ONNX (Open Neural Network Exchange) to optimize multimodal models for deployment.
- C
TensorFlow offers pre-built modules like TensorFlow Hub for easy integration of multimodal models.
- D
Both frameworks provide native support for multi-GPU training, which is essential for large multimodal datasets.
- E
Neither TensorFlow nor PyTorch supports integration with pre-trained vision and language models.
Show answer and explanation
Correct answers: B, C, D
Explanation
TensorFlow and PyTorch are widely used deep learning frameworks for multimodal generative AI tasks. PyTorch's ONNX support ensures smooth deployment of models, while TensorFlow Hub simplifies access to pre-trained modules. Both frameworks excel in handling multi-GPU training, a critical feature for training large-scale multimodal datasets. These features make them suitable choices for implementing and deploying complex multimodal AI models.
- A. Incorrect.
Incorrect: While PyTorch supports dynamic computation graphs, TensorFlow primarily uses static graphs with eager execution for flexibility. This statement is partially correct but not exclusive to both frameworks.
- B. Correct.
Correct: PyTorch has strong ONNX support, enabling efficient deployment of multimodal AI models across platforms, which is critical for production use cases.
- C. Correct.
Correct: TensorFlow Hub provides an excellent repository of pre-built modules, including multimodal models, which simplifies model integration and implementation.
- D. Correct.
Correct: Both TensorFlow and PyTorch support multi-GPU training out of the box, which is essential for training resource-intensive multimodal models on large datasets.
- E. Incorrect.
Incorrect: Both frameworks support integration with pre-trained models for vision and language tasks, making this statement factually incorrect.