Hi everyone! I built a Python SDK for search and recommendations, but not in the way you would expect. I d be interested in how people here would evaluate the approach.
It uses BehaviorGPT, a 12.5B parameters behavioral model trained on sequences of user actions to predict what happens next. Note; this isn t a language model.
Products are embedded from their images and attributes, and the model uses purchase patterns learned during pre-training to rank items in a new catalog. You can use it for natural-language search and recommendations conditioned on intent and interaction history.
