Adaptive Softmax improves Generative AI for large vocabulary tasks by reducing computational complexity and memory usage.
Here is the code snippet you can refer to:

In the above code we are using the following key points:
- Computational Efficiency: Reduces softmax calculations by focusing on most probable word clusters.
 
- Memory Optimization: Handles large vocabulary sizes without excessive memory overhead.
 
- Hierarchical Structure: Groups rare words separately, improving training speed.
 
- Scalability: Ideal for language models handling millions of tokens.
 
Hence, by referring to above, you can improve Generative AI for large vocabulary tasks