3 things about Chatbot (you don't have to learn it the hard way)
summary
Three practical takeaways: a chatbot needs NLP, a dialog manager, scripted content and integrations and those are the things that take most time to build not the glamour; real work uses Rasa for open source customization or managed services like Watson and Dialogflow for fast deployment; a working prototype proves limits — low training data yields repeated “sorry I dont understand” failures, unclear flows spike support handoffs, and simple sentiment or entity extraction demos can and do work in production.
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chapters (7)
- 0:00Introduction
- 5:32Chatbot components
- 10:52What chatbots can and cannot do effectively
- 19:43Chatbot design best practices
- 26:47Chatbot frameworks comparison
- 32:23Workshop advertisement
- 33:56Q&A
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