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Rasa NLU in Depth - Part 3: Hyperparameter Tuning
post by Tobias_Wochinger on Feb 28, 2019
Hi Rasa community!
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
- 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:
- Part 1: Intent Recognition: Choose the right classifier for your AI assistant project
- Part 2: Entity Extraction – Choose the right extractor for each entity
- * Part 3: Hyperparameters – How to select and optimize them
Lets us know what your experiences and recommendations are for the perfect configuration of the NLU components
post by AminaDerouiche on Sep 27, 2021
Hello @Tobias_Wochinger
Thank you for this post and for the blog it’s really helping 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 Thanks in advanced ^^
post by Tobias_Wochinger on Oct 4, 2021
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
post by AminaDerouiche on Oct 6, 2021
@Tobias_Wochinger Thank you for your respond
post by AminaDerouiche on Oct 6, 2021
@Juste can you give me some advice on how to proceed plz ?