Using LLM for Text Classification

1. 1Install Python 3.10 or newer to ensure compatibility with the LLM library
2. 2Choose an LLM provider like Oxlo.ai for its request-based pricing and OpenAI-compatible SDK
3. 3Build a zero-shot text classifier using the LLM library to categorize customer support tickets into categories like Billing, Technical, Account, or General
4. 4Test the classifier with sample tickets to evaluate its accuracy and effectiveness
5. 5Integrate the classifier into the customer support workflow to automate ticket categorization

This benefits the customer support team by automating ticket categorization, and the development team by leveraging LLM for text classification without requiring extensive training data or model maintenance. The DevOps team can also utilize this approach for efficient deployment and scaling.

💡 Zero-shot text classification using LLM can effectively categorize customer support tickets without requiring labeled training data or fine-tuning a model

Automate customer support ticket categorization with zero-shot text classification using LLM!