Introduction to Chatbots
summary
Covers the concrete workflow for building a chatbot: defining intents and entities, collecting slot values, using confidence thresholds, and testing with the try panel; shows a working example that uses IBM Watson Assistant and uses IBM Functions and IBM Cloud to query a Cloudant database and return conference sessions, and demonstrates deployment to Slack and Facebook via middleware; explains integration with tone analyzer, discovery, and text processing and how to retrain on low-confidence utterances.
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chapters (20)
- 0:00Start
- 0:08Introduction to Building Chat Bots
- 2:22Ibm Cloud
- 3:18Watson Studio
- 3:41Jill Watson
- 5:57Discovery Service
- 8:48Natural Language Understanding
- 10:07Text-to-Speech Service
- 14:37Entities
- 15:31System Generated Entities
- 16:18Dialogue Flow
- 16:54Slots
- 19:02Handlers
- 21:29Agenda
- 24:31Welcome Bot
- 29:58Show Recommendations
- 32:06Enable Slots
- 42:32Ibm Functions
- 43:04Introduction to Server Less Computing
- 46:47Environment Variables
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