Hey Rasa community! 馃憢
We want to make sure you all have the best experience with using Rasa Stack and we are going to focus on creating more tutorials and other content which should help you build awesome things with Rasa easier.
I would like to get your opinion on what topics you would like us to cover, what you find unclear or what you think the community would benefit from.
Below I have a little poll for some of the topics which you can vote for (simply click on the options you prefer). If you have your own suggestions for what things you would like to see, you are more than welcome to write it down in the comments below. Your input is incredibly valuable!
I would go for best practices for building training data. Currently, I am dependent on my intuitions and Rasa's Gitter channel for doing so.
I would like to see more help/tutorials on the pipelines. For example: their use cases, which sequences are best for what type of tasks, best practices, parameters' modifications, etc.
Building an iOS app with Rasa
Also details documentation of different Rasa APIs, what they really mean and example of how to use them in which context.
Hi @JustinaPetr
Friendly tutorial and posts regarding New TF pipeline is a must!
Although in-depth knowledge share concerning
Custom actions: types and use cases
Slots: types and use cases
and some in-depth insights about - how to create, build, and, improve quality of contextual data to feed into Rasa Stack with regard to NLP and ML pipelines.
Cheers
Best Practice everything is good. I love how Ansible achieved this: http://docs.ansible.com/ansible/latest/user_guide/playbooks_best_practices.html
At a moment, I'm not sure how to utilize "Topic". Use case of that would be also great.
I want to know how to work with multiple models(or bots) on the same HTTP Server.
Currently, I have a variety of usecases for my project. So, I built a lot of bots. The bots work fine individually but when added together. They are a mess !!
Any info on how to do that will be helpful.
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Most helpful comment
Also details documentation of different Rasa APIs, what they really mean and example of how to use them in which context.