N-Shot Learning: Achieving More with Less Data in NLP
The field of Natural Language Processing (NLP) has seen remarkable progress with large-scale models like GPT, BERT, and T5. However, traditional NLP models often require massive datasets and computational resources for fine-tuning on specific tasks. Enter N-shot learning—a powerful technique that enables AI systems to generalize and perform tasks with very few training examples. Whether […]
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