Build a ChatBot in 10 minutes!

Transcript

1. Build a ChatBot in 10 Minutes! Serverless Summit 2017, Bangalore

   @dwmkerr #inserverless Dave Kerr Senior Expert, McKinsey & Company

2. …or… chatbot jugaad! @dwmkerr #inserverless

3. Thank-you to the organisers and sponsors!

4. Who am I? @dwmkerr #inserverless

5. I am a technology consultant. @dwmkerr #inserverless

6. None

7. Which is closer to this… @dwmkerr #inserverless

8. None

9. What am I going to talk about? @dwmkerr #inserverless

10. Chatbots! @dwmkerr #inserverless Perfect for serverless technology. Today is about

    fun, not ROI!

11. …I’ve got to come clean about something… @dwmkerr #inserverless

12. …I know almost nothing about chatbots! @dwmkerr #inserverless

13. Lawrence Hunt, Selin Lanzafame, Dave Kerr

14. Introducing Lex @dwmkerr #inserverless

15. “Amazon Lex is an AWS service for building conversational interfaces

    for any applications using voice and text. With Amazon Lex, the same conversational engine that powers Amazon Alexa is now available to any developer, enabling you to build sophisticated, natural language chatbots into your new and existing applications. Amazon Lex provides the deep functionality and flexibility of natural language understanding (NLU) and automatic speech recognition (ASR) so you can build highly engaging user experiences with lifelike, conversational interactions, and create new categories of products.” @dwmkerr #inserverless

16. Say what? @dwmkerr #inserverless

17. Let’s see it in action! @dwmkerr #inserverless

18. Demo 1: Get a boring-bot running https://github.com/dwmkerr/lex-starter-kit refs/heads/demo1 @dwmkerr #inserverless

19. We setup the project with make setup @dwmkerr #inserverless

20. We can deploy lex models with make deploy

21. Here’s how our conversation looks so far @dwmkerr #inserverless

22. Getting Input @dwmkerr #inserverless

23. Most conversations need input! @dwmkerr #inserverless

24. Demo 2: Getting Input with Slots https://github.com/dwmkerr/lex-starter-kit refs/heads/demo2 @dwmkerr #inserverless

25. We configure the environment with make config

26. We can deploy lex models with make deploy

27. Our conversation flow is now more complete

28. Cool kids use the shell for everything github.com/dwmkerr/effective-shell @dwmkerr #inserverless

29. Intermission: Using lex-chat https://github.com/dwmkerr/lex-chat @dwmkerr #inserverless

30. Using sessions to manage conversation state @dwmkerr #inserverless

31. Sometimes we have state which we build up over a

    conversation… @dwmkerr #inserverless

32. Demo 3: Sessions https://github.com/dwmkerr/lex-starter-kit refs/heads/demo3 @dwmkerr #inserverless

33. Use the session to persist conversation state between intents

34. This gets complex! When do you clear a session? At

    least you save time on the scripting J @dwmkerr #inserverless

35. Bootstrap your bots, and join in for the next set

    of features! github.com/dwmkerr/lex-starter-kit github.com/dwmkerr/lex-chat @dwmkerr #inserverless

36. Thanks! @dwmkerr dwmkerr.com github.com/dwmkerr linkedin.com/in/dwmkerr

37. Appendices @dwmkerr #inserverless

38. Tips and Tricks • Question marks in intent utterances will

    break Lex! • Train with realistic data • Complicated or very variable slots are very hard to work with (e.g. sentences), consider using cards • Encrypt sensitive environment variables such as keys when using lambda functions @dwmkerr #inserverless