Chatbot is now one of the most popular applications of AI so how to build one will be a questions attracting a lot of attention

1. Building chatbot with
RASA
Nguyễn Chiến Thắng, Mì AI Blog
Vietnam Frontier Summit 2019

2. — Dave Waters
“Machine learning will automate jobs that most
people thought could only be done by people.”

3. About Mì AI

4. What is this?
It’s math in Ai, ML and DL
Source: Andrew Ng

5. - Founded in August 5th, 2019
- A place to share and help each other learn AI
- Learning AI in the style of “instant noodles”

6. Ainoodle.tech: 7,000 users | 25,000 views
Fanpage Mì AI Blog: 1,300 likes
Group Mì Ai: 1,500 members
Youtube Mì AI: 3,500 views

7. Building chatbot
with RASA

8. 8
1. What is
Chatbot?
● A chatbot is a piece of software
that conducts a conversation via
auditory or textual methods.
(Wikipedia)
or
● A chatbot is an artificial
intelligence (AI) software that can
simulate a conversation (or a
chat) with a user in natural
language through messaging
applications, websites, mobile
apps or through the telephone.

9. 9
2. What is RASA?
RASA stack is an open-source AI
tool and being an opensource
framework, It is easy to
customize.

11. - Rasa NLU: A natural language understanding
solution which takes the user input and tries to infer
the intent and extract the available entities.

12. “Hello”
- Intent: Greeting
- Entities: None
“What day is today?”
- Intent: find_day
- Entities: today
“I want to order a book?”
- Intent: goods_order
- Entities: book

13. ## intent:greet
- Hi
- Hey
## intent: goods_order
- I want to order a [book](product)
- I want to buy a [mobile](product)
## intent:bye
- Bye
- Goodbye
Build NLU file and train RASA NLU

14. - Rasa Core: A dialog management solution tries to
build a probability model which decides the set of
actions to perform based on the previous set of user
inputs.

15. - Actions: An operation which can be performed by
the bot. It could be replying something in return,
querying a database or any other thing possible by
code.
- Stories: Sample interaction between the user and
bot, defined in terms of intents captured and
actions performed.

16. ## Ask for goods
* greet
- utter_greet
* goods_order{”product":”book"}
- utter_answer_book
* goods_order{”product":”mobile"}
- utter_answer_mobile
* goods_order{”product":”tissue"}
- utter_answer_dont_have
* bye
- utter_bye
Build Stories file and train RASA Core

22. More details at:
Ainoodle.tech/?s=RASA

23. Does anyone have any
questions?
email: thangnch@gmail.com
website: ainoodle.tech
THANKS!