Using traditional, lightweight machine learning classifiers on text frequently requires condensing lengthy, often noisy raw text into clean signals to succeed. Therefore, it wouldn’t be crazy to think of using a large language model (LLM) for text summarization as a preprocessing stage before feeding cleaner texts to the downstream classification model. What if we could…
