

Here we've added a do_sample=True and top_k=10 to allow the model to be a bit more flexible when generating output.
Text summarization
Similar to the translation, text summarization is another generative task where the output heavily relies on the input, 
and encoder-decoder models can be a better choice. However, decoder-style models can be used for this task as well.
Previously, we have placed the instructions at the very beginning of the prompt. However, the very end of the prompt can 
also be a suitable location for instructions. Typically, it's better to place the instruction on one of the extreme ends.  
thon