From the course: Building Chatbots Using Google Dialogflow
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Agents - Google Cloud Tutorial
From the course: Building Chatbots Using Google Dialogflow
Agents
- [Narrator] In the Dialogflow ecosystem, you will often hear the concept of an agent. This represents an entire application or conversational experience. In Dialogflow, an agent is similar to a human call center agent. Both are trained by using training examples to handle expected conversation scenarios. For Dialogflow, however, the training does not have to be overly explicit as machine learning helps to make your agent smarter. What users say to your agents can also be used as training examples. So your agent can become smarter the more people interact with it. If we take a look a bit deeper, we can see that in Dialogflow, agents serve as a top-level container for settings and data. It is one of the first things we create when we build a chatbot application in Dialogflow. At a high level, agents consist of settings such as language options, machine learning settings, and other settings that can control the…
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