⚪Training
Last updated
Last updated
Trainings allows you to teach and customize your AI agent's responses, ensuring it understands and engages with users like never before. Through the training process, your AI agent learns from example conversations and data, becoming smarter and more accurate in interpreting user intents. Craft personalized interactions, equip your agent with expert product knowledge, and infuse human-like empathy into every conversationHere's how this cutting-edge feature empowers you:
Enhanced Customization: With the training feature, users can fully customize their AI agent's behavior, personality, and responses. They can shape the AI agent to align seamlessly with their brand identity and business objectives, creating a unique and personalized virtual assistant.
Improved Conversational Experience: By providing precise instructions and examples, users can guide the AI agent's focus during conversations. This ensures that the AI agent engages in goal-oriented interactions, such as assisting sales teams in securing leads, understanding customer pain points, and delivering tailored product solutions.
Human-Like Interaction: With the training feature, users can direct their AI agent's style and tone, ensuring it communicates with users authentically and naturally. The AI agent can use empathy, persuasive techniques, and natural language understanding to build rapport, foster trust, and leave a lasting impression on prospects and customers.
Through the training feature, users can continuously improve and fine-tune the performance of their AI agents. As more training examples are provided, the AI agent becomes more capable of handling a wide range of user interactions and providing accurate and contextually appropriate responses.
Navigate to the dashboard or workspace.
Select the project in which you want to train the AI agent.
Locate the desired agent within the project and access its settings or configuration.
Once you are in the agent settings, find the Training tab.
Click on the Training tab to access the training feature.
In the Training tab, you will see two training types: "By Example" and "By Rules".
If you need to remove a training example or rule, locate the specific training item.
Select the option to delete or discard it.
You can add multiple training examples to cover various conversation patterns or user intents.
Ensure a diverse range of inputs and desired outputs to train the AI model effectively.
After saving the training examples or rules, it's essential to test their effectiveness.
Initiate conversations or inputs that match the training examples or rule conditions.
Evaluate the AI agent's responses to verify if they align with the desired outputs.
Repeat the testing process with different inputs to validate the training.
Click on the "Inspect" option within the chat bubble.
Once you click on "Inspect," The AI Agent will generate a display showing the relevant training used to generate its response