Motivation: apps vs bots and interacting with computers using Natural Language Interfaces. Google Now, Siri, Alexa. Great progress in recent years in both translation, voice recognition and natural language understanding technologies. Democratization of AI and Machine Learning APIs. Bots as a new way of implementing user interfaces.
Use Case: describe a bot to help users order tickets
Use it to describe the following concepts:
Natural language recognition
Text conversations
Rich media conversations
Bot-led conversations
Human hand off
Embedding into messaging apps
Chapter 2: Bot User Design (UX)
Motivation: there is a good way for bots to communicate to you and there is a bad way. This chapter will distill some common "good" approaches to a bot and Also show some examples of bad communication.
conversational User Experience
Text vs rich conversations
Bot initiated conversations
Perceived performance
Personalized content
Concise and clear messaging
Consistent voice
Do one thing well, provide value
Chapter 3: Natural Language Understanding
Motivation: part of the reason bots are becoming a thing is that natural language recognition technologies are widely available and easier to use.
Intent classification
Entity Extractors - Named Entity Extraction
LUIS
How to create a model
How to train LUIS to recognize intents and entities (use ticket ordering bot as a use case)
Action Fulfillment - not used in LUIS anymore, but still used in cloud based, intent-led bot frameworks. It is interesting to know when creating bots.
Chapter 4: Introducing Microsoft Bot Builder Framework
Motivation: cloud bot services vs bot as a web service models. We favor bot as a web service model for ease of use, control, extensibility etc.
MSFT bot builder framework - what is it?
Node.js and why we use the Node.js version vs the C# version
Core concepts
Intro to emulator
Node.js samples
How to run sample
Some basic bot samples
Chapter 5: Dive into Bot Builder
Motivation: we need to go over the different concepts inside the bot builder framework and how they help us build bots.
Dialogs
Messages
Connector
Channels
Conversation State
Recognizers
Actions
Proactive messages
Chapter 6: Putting it all together
Motivation: Build a sample bot that uses all of the concepts in the previous chapter
Back to ordering tickets bot - lots of coding
Chapter 7: Advanced bot builder topics
Motivation: Expand sample from #6 with some more advanced concepts like proactive messaging, better dialog management, custom recognizers, deeper action support, group chats, etc.
Lots of code here
Chapter 8: Deploying to Channels and sending custom data
Motivation: a bot is useless unless it is connected to a channel. Let's see how this is done. We introduce the bot framework web site.
Focus on Messenger and Slack
Show some custom functionality such as messenger square cards or slack updating messages
Chapter 9: Custom channels
Motivation: sometimes you would like to support a custom channel that is not supported out of the box by Microsoft. How do we do this?
Using direct line
Using vani
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