* "2 years vs 1 month" is a bit misleading because the work that enabled testing the 1 month of prompting was part of the 2 years of ML work.
* xgboost is an ensemble method... add the llm outputs as inputs to xgboost and probably enjoy better results.
* vectorize all the text data points using an embedding model and add those as inputs to xgboost for probably better results.
* "2 years vs 1 month" is a bit misleading because the work that enabled testing the 1 month of prompting was part of the 2 years of ML work.
* xgboost is an ensemble method... add the llm outputs as inputs to xgboost and probably enjoy better results.
* vectorize all the text data points using an embedding model and add those as inputs to xgboost for probably better results.