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hey everyone set feet or sentence Transformer fine tuning this new paper generated lot of attention and lot of discussion over the last few days so the official name of the paper is efficient view short learning without prompts and published by the researchers named over here so this video will be a quick discussion around this paper and also the code implementation that hugging face has published and the main reasons that set fit generated so much attention is because it outperforms gpt3 in few short text classification that is where a labeled examples are 50 or less and it is 1600 times smaller and can be run on your CPU so just going through the paper uh what they are saying the abstract is recent few short methods such as parameter fine tuning and pattern exploiting training have achieved impressive results in levels cares settings however they are difficult to employ since they are subject to high variability from manually crafted prompts and typically require billion parameter l
