How do you improve computational efficiency when training or fine-tuning generative models on multi-modal data e g text image

Question

With help of python programming can you tell how to improve efficiency when training or fine-tuning generative models?

Answer 1

You can improve efficiency when training or fine-tuning generative models by referring to following code snippet:

The reference code is using techniques like Gradient Accumulation , Mixed Precision Training and Data Parallelism.

Hence this combined approach will not only enhance training efficiency but also helps maintain the model's integrity giving  more relevant outputs during inference leading to more reliable and responsible generative model deployment.