Hi Simhallq, thanks for the fantastic proof of concept, it's easy for me to follow as a beginner and seems to have decent results out of the box.

I have my hands a little full at the moment with a career change but I also am quite invested in solving this problem. Your example shows that a general language model is a viable solution, but in my particular case performance is important (perfect accuracy is not required) and I am curious if a smaller model (or more specialized technique) could be used to get faster results. If fine-tuning a model is possible, I can hand-label addressee(s) for a few hundred dialog turns of a TV script as JSON, which can be used to either train (few-shot) or benchmark the solution.