Conversational Interfaces for Chatbots and Artificial Intelligence
summary
Overview of an end-to-end conversational system: Python libraries Rasa NLU for intent/entity extraction and Rasa Core for ML dialogue management, a simple Flask Slack connector to receive webhooks, and a backend weather API. Training runs (about 200 epochs in the demo) produce stories that predict actions; the live Slack demo resolves “what’s the weather in Toronto”, looks up data, and treats “thanks” as goodbye. Claims include 85% of support automated by 2020 and a $16B virtual assistant market; accuracy improves with domain-specific training.
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chapters (10)
- 0:00Start
- 0:27What Is a Conversational Interface
- 5:48Conversational Interface
- 8:53Natural Language Generation
- 11:54Python Libraries
- 12:41Conversational Libraries
- 13:25Code Examples
- 19:23Slack Connector
- 21:06Favorite Messaging Platform
- 21:47Working with Worthy Causes
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