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chatpot, agent validation, agent - Coggle Diagram
chatpot
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intent
An intent categorises the customer's intention for a conversation turn. You can define mutiple intents for a single agent
entity
When an intent is matched, Dialogflow can extract specific information from the end-user expression. The extracted data is called a parameter or entity type
- Dialogflow is powered by Google's machine learning and has the cognitive ability to understand and reply in the natural language
Dialogflow uses Natural Language Processing (NLP), which is a branch under artificial intelligence.
2.Dialogflow requires minimal coding and is suitable for anyone who can effectively use a computer and web broswer
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agent validation
To enable agent validation, click on the "Setting" icon, go to "ML Settings", then "Enable" Agent Validation and "TRAIN" your agent. Remember to click "SAVE".
agent
Dialogflow agent can handle human language
Dialogflow agent needs to be built and trained to reply to conversations.