When creating a bot in AWS Lex, you can base it off of an example or create a custom one. This allows you to not only learn from the examples but also provides sample bots for common functionality. The process also creates the needed IAM role for the bot. You mainly only need to provide a name and you're ready!
- [Instructor] As we mentioned before, … when gathering information for our intent we use slots. … Those are the blanks in the sentence … that we're trying to complete. … Each slot gathers a piece of information … that fills that missing blank. … Those missing pieces of information may be a date, … an item of clothing, food, a location, … or whatever is in your slot you're trying to gather. … The name of a planet, a zodiac sign, … the name of a book, who knows. … That type of data is specified in the slot type. … Amazon provides many built in slot types … that you can use for things like country, color, … even dessert, but it may not suit your needs. … If you go to the Developer Guide again … you can see under How It Works, … Built-in Intents and Slot Types … what slot types are built in. … Some examples are things like Amazon email address … that converts the words that someone says … into the standard email address format. … Same with percent, phone number, and so on. … Time is a good one because of course …
- Introducing Amazon Lex
- Lex API and CLI
- Creating the bot
- Testing the bot
- Defining slot types
- Configuring input and confirmation prompts
- Designing responses
- Publishing the bot
- Creating and connecting lambdas
Skill Level Advanced
AWS Machine Learning by Examplewith Jonathan Fernandes1h 23m Intermediate
Creating chatbots1m 36s
1. AWS Lex Overview
2. Creating a Bot
3. Slots and Slot Types
6. Functionality with Lambdas
Next steps1m 13s
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