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The video tutorial discusses a paper titled "Efficient Few-Shot Learning Without Prompts" by researchers from Hugging Face, Coher.ai, Dumbstrad Emergent AI Labs, and Intel Labs. The paper addresses the challenge of training a supervised model with limited labeled data for each class in a classification problem. It introduces SACRED, a method for efficient few-shot learning to tackle this issue. The paper has generated hype and discussion in the field of AI.