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🤖 Learn Rasa AI Chatbot
📑Training Syllabus
Overview of Rasa Chatbot
Chatbot for business use
Rasa alternatives
DialogueFlow
Python basics
Command line console
Installing packages
Identify dependencies
Setting up your workspace
Basic chatbot responses
NLU training
Domain setting
Config file setup
Best practices for NLU
Optimizing stories
Contextual conversations
Conversational flow control
Setting up rules
Declaring synonyms
Custom action scripts
Rasa's AI defaults
Fallback responses
Testing and iteration process
Understanding user intent
Proper intent classification
Entity extraction
Slot filling
Rasa pipeline configuration
Using BERT or distilBERT
Deployment & best practices
And more...
As a side project, I have been training my Rasa model, called Wirabot, to speak and understand Manglish (Malaysian English aka Bahasa Rojak).
Manglish might not be the sexiest form of English, but it’s uniquely expressive and packed with local flavor.Â
One day I hope to either deploy it as an SaaS (if I get more ambitious), but more likely I may push it to GitHub as a free resource where others can help to improve upon.
Translated into Manglish
Side project only mah, been training my Wirabot to paham Manglish (you know la, Malaysian English rojak style).
Manglish damn no sexy la, but ngam with local feel, right?
If got semangat one day maybe can make SaaS lo, but most likely I think will just put on GitHub for free la.
Additional Info
For those interested in this topic, there is actually an existing Manglish AI Chatbot called KRISPI and several others, such as the one used by TGV/GSC Cinema(Malaysia) in the past. However, these are proprietary and not easily accessible. I would like to make a viable, robust Manglish chatbot and release it, either super cheaply or freely, for Malaysian businesses to customize and deploy. All in due time, perhaps.
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