LLM Intent Classification
An Overview of Large Language Models (LLM) Intent Classification and Its Implementation in Parloa
Parloa's LLM Intent Classification enhances your bot's ability to understand user intents. This method complements the traditional Natural Language Understanding (NLU) approach, which relies on a trained speech model. Unlike traditional methods, LLM employs natural language descriptions, facilitating a more straightforward and effective process for building intent systems without the need for separate intent utterances.
This feature is available for Textchat 2 and Phone 2 platforms.
Activation Process
To begin using LLM Intent Classification, you must first activate it, as it is not enabled by default. Initiate this process by contacting our support team via email at support@parloa.com or reaching out to your Customer Success Manager. Once activated, you can apply the feature to Start Conversation and State blocks in your bot's workflow.
Please note that employing LLM Intent Classification incurs additional charges. For detailed pricing information or to modify your contract to include this feature, please consult your Customer Success Manager.
LLM-based systems may exhibit some latency in intent recognition. Consider this factor when designing user interactions.
Use Case Benefits
For new bots: Begin with LLM classification to minimize the need for numerous example utterances.
For existing bots: Incorporate LLM classification to reduce reliance on speech models for intent recognition.
Enabling LLM Intent Classification on a Block
Step 1 â Selecting the Intent Detection Method
Click on the block you want to update (Start Conversation or State).
If LLM is not enabled, the Detect Intent by menu will default to Utterances and you will not be able to select the Description method.
Step 2 â Add Intent Descriptions
Provide an intent description in one of two ways â
Alternatively, add intent descriptions by going to Speech Assets -> Intents:
Crafting Effective Intent Descriptions
Write descriptions in simple language, within a 500-character limit, that accurately reflect the intent's purpose.
Ideally, descriptions should be between 70 to 125 words long.
Maintenance and Improvement
Frequently Asked Questions (FAQ's)
Got more questions or want to share your feedback?
Please reach out to us at support@parloa.com.
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