How can you use recurrent layers in transformers for better generative outputs

Question

With the help of the program, can you tell me how you can use recurrent layers in transformers for better generative outputs?

Answer 1

You can enhance generative outputs in transformers by integrating recurrent layers, such as LSTMs or GRUs, to model sequential dependencies effectively. 

Here is the code snippet you can refer to:

In the above code, we are  using the following:

• Recurrent Layer: Captures sequential context before feeding into the transformer for better dependency modeling.
• Transformer Encoder: Enhances understanding of global contexts using self-attention.
• Hybrid Approach: Combines benefits of recurrence (local dependencies) and transformers (global context) for improved generative outputs.

Hence, you can use recurrent layers in transformers for better generative outputs.