Born Digital - Documentation
  • Welcome
    • Welcome to Digital Studio
  • Digital Agent
    • Introduction
    • Workspace
      • List of Projects
      • Project Details
      • Deploy Project
    • Conversation Flow
      • User Interface Basics
      • Nodes Explained
        • MESSAGE node
        • ANSWER node
        • DECISION node
        • FUNCTION node
        • AI node
        • TRANSFER node
        • REDIRECT node
        • START / END nodes
      • Training set
        • Overview
        • Best practices for writing training set
      • Launching project
      • Setting tab
    • Building new projects
      • Knowledge base project
        • Step 1. - Initializing Your Project
        • Step 2. - Integrating AI Node
        • Step 3. - Finalizing with Testing and Training
        • (Optional) - Integrating a Knowledge Base Index
      • Advanced project
        • Step 1. - Establishing Functions
        • Step 2. - Crafting Greetings
        • Step 3. - Adding the AI node
        • Step 4. - Managing Flow Scenarios
        • Step 5. - Finalizing the Project
        • Step 6. - Training and Execution
    • Advanced functions
      • Knowledge base
      • New AI node property variables
      • Recordings
      • Statistics
      • Code editor
      • Widgets
  • For advanced users
    • Conversation design tips
      • Customizing speech synthesis
      • Customizing text output
      • Customizing smart functions output
      • Randomizing message content
      • Alternative messages based on variable values
      • Setting time-based greetings
      • Personalised URL links
      • Custom business statuses with variables
      • String slicing
      • Implementing chat buttons
    • Intent recognition tips
      • Fine-Tuning Intent Recognition using Generative AI
      • Multi-step intent recognition
      • Recognition based on named entity extraction
    • Prompting cookbook
      • Basics
      • Prompting techniques
  • Product changelog
    • Product changelog
  • Initial setup
    • Starting up
    • My settings
  • Contacts
    • Contacts for you
Powered by GitBook
On this page

Was this helpful?

  1. Digital Agent
  2. Conversation Flow
  3. Training set

Overview

Overview of Training Set tab in Digital Studio

PreviousTraining setNextBest practices for writing training set

Last updated 7 months ago

Was this helpful?

Intent - represents the purpose behind an end-user's input during a conversation. For each agent, multiple intents are defined, allowing your collective intents to manage an entire conversation. When an end-user inputs a message, Digital Studio identifies the most appropriate intent associated with your agent.

Intent name – a user defined, recognizable name of intent

Utterances - these are sample phrases that end-users might use. When an end-user expression closely resembles one of these phrases, Digital Studio identifies the corresponding intent. You don’t need to provide every possible example, though it is advised that every intent has 5-15 different utterances based on what your users say.

Used in node – indicates the point in conversation flow where selected intents are being checked against end-user's input.

Target node – after recognizing the proper intent, target node points to the next step in conversation flow.

Actions – from here you can either select the “edit intent” or “delete intent” button. When the “edit intent” is selected, you will be shown a window, where you can quickly change the name of intent and update its utterances. You can also use “Generate utterances with AI” by providing an intent description and desired number of utterances to be generated.

Snippet of training section tab in Digital Studio