This Colab notebook demonstrates how to elevate customer support efficiency by fine-tuning the Ludwig language model with the Hugging Face Mistral model. The goal is precise intent classification of support call transcripts to automate and optimize customer query categorization. This approach ensures quick and targeted responses, streamlining customer support workflows and enhancing service efficiency.
Contributions are welcome. If you have ideas for improvement, please share them by submitting a pull request.