R.E.D.: Scaling Text Classification with Expert Delegation
With the new age of problem-solving augmented by Large Language Models (LLMs), only a handful of problems remain that have subpar solutions. Most classification problems (at a PoC level) can be solved by leveraging LLMs at 70–90% Precision/F1 with just good prompt engineering techniques, as well as adaptive in-context-learning (ICL) examples. What happens when you …
R.E.D.: Scaling Text Classification with Expert Delegation Read More »










