Rasa NLU in Depth - Part 3: Hyperparameter Tuning

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Hi Rasa community! :sunny:

we just published the final part of our three-piece blog post series in which share our best practices and recommendations how to custom-tailor the Rasa NLU pipeline for your individual contextual AI assistant.

This part is about hyperparameter tuning :robot:

  • How to run a hyperparameter search at scale with Docker
  • Which hyperparameters should I start with?

Read it here: Rasa NLU in Depth: Hyperparameter Tuning.

Also check out the other parts of this series:

Lets us know what your experiences and recommendations are for the perfect configuration of the NLU components :partying_face:

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Hello @Tobias_Wochinger

Thank you for this post and for the blog it’s really helping :slight_smile: I noticed that this was published with the previous version of rasa, does it matter which version to use , if yes can we have it with the new version of Rasa (the one using yaml instead of md) plz ? or some tips on how to do it :pray: Thanks in advanced ^^

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Hi Amina,

glad this is helpful! Unfortunately I’m working on quite different things within Rasa at this point. Maybe @Juste can help you out / knows more up to date resources

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@Tobias_Wochinger Thank you for your respond

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@Juste can you give me some advice on how to proceed plz ?