Part 10/11:
Integrating LLMs for Product Metadata Analysis: Using LLMs like GPT-4 for initial tagging accelerates classification while ensuring high accuracy through expert review.
Fine-Tuning Smaller Models for Scalability: Fine-tuning models like Mistal 7B helps in automating large-scale categorization tasks, making the system adaptable to market changes.
The Power of Thresholding & Sampling: Careful threshold setting and sampling techniques ensure meaningful segmentation, especially when dealing with high-noise data.
The Never-Ending Journey of Data Science: Customer segmentation is a continuous process, requiring iterative improvements and adaptation.