Nlp Researcher
Primary focus on generating synthetic datasets in a few-shot setting for intent and entity classification. Enhancing a model's generalization ability by appending gold standard dataset with a synthetic dataset.Utilizing Llama3 and an entity based seed dataset to generate multiple datasets through various techniques. Each synthetic dataset was evaluated using a fine-tuned BERT model, and the techniques were ranked based on performance. The top-performing synthetic dataset underwent multiple filtration layers to remove mislabeled intent classes, ensuring high-quality data for improved model training.