Instruction: Discuss approaches or techniques to reduce the computational cost and improve the efficiency of multimodal AI models during training.
Context: This question tests the candidate's knowledge of optimization techniques and their ability to apply them in the context of multimodal AI, ensuring models are both effective and efficient.
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I usually start with pretrained unimodal encoders, selective fine-tuning, and a fusion layer that is only as complex as the task needs. Self-supervised pretraining, mixed precision, curriculum strategies, and careful batching are also important because multimodal...