[D] [R] LLM with GCN

Hello, I am working on a research of generating responses for conversations. The idea is that I will label the context (i.e. concatenation of past utterances) of the conversation using GCN, and then generate the response based on the context + label using Transformers-based models (let say I'm gonna use Blenderbot in this case). The questions are:

* Is it better to seperately train the GCN models first, and then use the best checkpoint to predict the label and treat …

blenderbot case context conversation conversations generate hello llm machinelearning research responses the conversation transformers will