Build a ChatBot in 10 minutes!

Use serverless technology such as AWS Lambda to build a chatbot with AWS Lex

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