Call2Instruct: Revolutionizing LLM Training with Automated Call Center Data!
Published:Jan 22, 2026 05:00
•1 min read
•ArXiv ML
Analysis
This paper presents a groundbreaking method called Call2Instruct, which automates the creation of high-quality Q&A datasets from messy call center recordings! By using a smart pipeline, this innovation efficiently transforms raw audio into valuable resources, making LLM training more accessible and effective.
Key Takeaways
- •Call2Instruct automates the conversion of call center audio into instructional Q&A datasets.
- •The pipeline includes audio processing, text cleaning, semantic extraction, and matching.
- •Fine-tuning an LLM (Llama 2 7B) on the generated dataset successfully demonstrated its feasibility.
Reference
“The proposed approach is viable for converting unstructured conversational data from call centers into valuable resources for training LLMs.”