Architectures for Dialogue
## ❓ Questions & Help
Hi 👋
I'm trying to build a dialogue system which should reply based on a history, memory (which is represented as a string) and a confidence if the memory content is correct and should be used. 

Here two examples: 

- history: _Hi_ 
memory: _name: Max_ 
confidence: _0.2_
=> expected output: _Hi, what's your name?_

- history: _Hi_ 
memory: _name: Max_ 
confidence: _0.9_
=> expected output: _Hi Max_


First of all, are there some best practices how to encode non textual input or inject such information into a model? 

I already trained a Bert2Bert model which is not really performing very well. The generated response seems to be not conditioned on the encoder output. 

Are there any recommendations what to try next? 

Many thanks in advance for your hints! 





This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
<|||||>Did you check out [DialoGPT](https://huggingface.co/microsoft/DialoGPT-large) by @dreasysnail?<|||||>This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
