I have personally found generative-text LLMs quite good for creating titles. As an example, I have a few hundred tweets that I’m trying to put into a file, and I’ll use an LLM to create a human-readable name for them. It’s much better than a lot of the other summarisation mechanisms (like BERT) I’ve tried with it, but it’s still not perfect, because the model tends to output the same thing in slightly different words each time, so repeat runs will often result in the same thing with a different title.
I have personally found generative-text LLMs quite good for creating titles. As an example, I have a few hundred tweets that I’m trying to put into a file, and I’ll use an LLM to create a human-readable name for them. It’s much better than a lot of the other summarisation mechanisms (like BERT) I’ve tried with it, but it’s still not perfect, because the model tends to output the same thing in slightly different words each time, so repeat runs will often result in the same thing with a different title.
But, that is also a fairly limited use case.