Content Moderation System Using Machine Learning Techniques
Gaurav Gulati,
Harsh Anand Jha,
Rajat Jain
et al.
Abstract:Large "instruction-tuned" language models (i.e., finetuned to respond to instructions) have demonstrated a remarkable ability to generalize zero-shot to new tasks. Nevertheless, they depend heavily on human-written instruction data that is often limited in quantity, diversity, and creativity, therefore hindering the generality of the tuned model. We conducted a quantitative study to figure out the efficacy of machine generated annotations, where we compare the results of a fine-tuned BERT model with human v/s … Show more
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