Categorizing without an LLM
The author developed Shoppy, a simple Django application designed to help build a dataset for category prediction without relying on large language models. Shoppy utilizes a straightforward mapping system based on unigrams and bigrams derived from search terms to categorize items. The project also highlights the author's preference for simple software engineering practices and modern CSS features for creating responsive layouts. AI
IMPACT Demonstrates a lightweight, non-LLM approach to categorization, potentially offering simpler alternatives for specific tasks.
