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hello there welcome back to the new video today in this video well be talking about this very interesting paper that Ive been seeing all around on my LinkedIn that is titled as efficient few short learning without prompts this is from researchers from hugging face coher.ai to dumbstrad emergent AI labs and Intel Labs so this paper has taken at least mild Indian feed with a wave and people have been talking all around in terms of its implementation the summary of this paper and the pain that it actually solves so yeah lets see what this hype is all about lets start with abstract so this paper is in the space of few short learning where the general idea is like you dont have large enough humanly labeled data for training a supervised model we just have few well curated sample data for each of the classes in case youre trying to do a classification problem then how do you go about training your system in an efficient manner so this paper proposes sacred which is sentence Transforme