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Classroom Contents
Building Conversational AI Applications with Vertex AI Conversation and Dialogflow CX
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- 1 High level overview of natural language understanding for Conversational AI
- 2 Generative AI applied to Conversational AI
- 3 Common user needs, use cases, and capabilities
- 4 Solution: Data store agent uses retrieval-augmented generation to generate responses grounded to the content of your knowledge repository
- 5 Solution: Generative fallback use LLMs to generate virtual agent responses to handle unexpected intents and invalid parameter values
- 6 Solution: Generators allows you to make a call to an LLM natively from Dialogflow CX to do anything you would normally ask an LLM to do
- 7 Live demo
- 8 Best practices when using Generative AI with Conversational AI
- 9 Resources and what's next
- 10 Q&A
