Build a ChatBot in 10 minutes!

Transcript

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

   @dwmkerr #inserverless Dave Kerr Senior Expert, McKinsey & Company
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   …or… chatbot jugaad! @dwmkerr #inserverless

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   Thank-you to the organisers and sponsors!

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   Who am I? @dwmkerr #inserverless

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   I am a technology consultant. @dwmkerr #inserverless

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   None
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   Which is closer to this… @dwmkerr #inserverless

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   None
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   What am I going to talk about? @dwmkerr #inserverless

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

    fun, not ROI!
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    …I’ve got to come clean about something… @dwmkerr #inserverless

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

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    Lawrence Hunt, Selin Lanzafame, Dave Kerr

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    Introducing Lex @dwmkerr #inserverless

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    “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
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    Say what? @dwmkerr #inserverless

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

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

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    We setup the project with make setup @dwmkerr #inserverless

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    We can deploy lex models with make deploy

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

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    Getting Input @dwmkerr #inserverless

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    Most conversations need input! @dwmkerr #inserverless

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

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    We configure the environment with make config

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    We can deploy lex models with make deploy

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    Our conversation flow is now more complete

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

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

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    Using sessions to manage conversation state @dwmkerr #inserverless

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    Sometimes we have state which we build up over a

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

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    Use the session to persist conversation state between intents

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

    least you save time on the scripting J @dwmkerr #inserverless
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    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
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    Thanks! @dwmkerr dwmkerr.com github.com/dwmkerr linkedin.com/in/dwmkerr

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    Appendices @dwmkerr #inserverless

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    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