Autoplay
Autocomplete
Previous Lecture
Complete and Continue
Dialogflow Conversation Design
Introduction
Introduction (2:20)
Dissecting Intent Mapping in Dialogflow
Candidate list (3:33)
Scoring the user's message (5:49)
Scoring the user's message for v2 agents
Stemming (5:40)
Description of the Porter Stemmer algorithm
Stopwords (5:35)
List of stop words
ML Threshold (4:49)
Term Reinforcement (5:15)
Summary Part 1 (4:38)
Summary Part 2 (4:49)
Slot filling challenges
Challenges of using slot filling feature (9:57)
Resources
Choosing the lifespan of a context
Choosing the lifespan of a context (7:54)
How to use contexts to simulate slot-filling (and why)
3 scenarios where you should avoid using slot filling in Dialogflow
Slot Filling Part 0: The example (14:23)
Slot Filling Using Contexts Part 1 (3:55)
Slot Filling Using Contexts Part 2 (8:33)
Slot Filling Using Contexts Part 3 (11:56)
Can we get all the input at once?
Session variables
Session Variables Part 1 (2:28)
Session Variables Part 2 (7:58)
When not to use followup intents in Dialogflow?
When NOT to use follow up intents (4:24)
Article on my website
ZIP file for the Florist Shop agent
Why not just use @sys.any for everything?
When to use the @sys.any wildcard entity (5:38)
Candidate Intent Ambiguity
Agent ZIP file
A puzzle (1:13)
Puzzle answer (3:52)
Candidate Intent Definition (1:15)
Puzzle solution (5:26)
Why not Intent Ambiguity? (0:47)
Why Candidate Prefix 1 (2:19)
Why Candidate Prefix 2 (4:41)
Why not simply avoid identical training phrases? (2:32)
Checklist Bot (6:05)
Wrap up (5:10)
Scoring the user's message for v2 agents
Lecture content locked
If you're already enrolled,
you'll need to login
.
Enroll in Course to Unlock