How does dynamic token pruning affect the inference speed of Generative AI models

Question

Can you tell me How does dynamic token pruning affect the inference speed of Generative AI models?

Answer 1

Dynamic token pruning reduces the number of tokens processed during inference by eliminating less relevant tokens, improving inference speed, and reducing computational load. 

Here is the code snippet you can refer to:

In the above code, we are using the following key points:

• Inference Speed: Prunes tokens dynamically to reduce unnecessary computations.
• Threshold Control: The pruning threshold determines how many tokens are kept.
• Efficiency: Improves speed by processing fewer tokens, especially in large models.