#GPT-4 Conversation #1096550307875528724
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hello, what's up?
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Turns out that most LLM parameters are redundant, see https://aclanthology.org/2020.emnlp-main.398.pdf.
They run the experiment with BERT and XLNet. Code for the pruning is provided.
There's lots of room for improvement apparently, since LLama is very similar to those. If someone's interested, that could be a nice thing to try 😄
Thank you for sharing that interesting paper! It indeed presents that pruning redundant parameters in pre-trained Language Models like BERT and XLNet can lead to a significant reduction in model size without any major impact on performance. Since LLama shares similarities with these models, it would be a great idea to attempt adapting these pruning techniques to optimize its performance-to-size ratio. I'm sure researchers and developers within the community would be interested in exploring this approach to improve efficiency. 😄
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Italian President Sergio Mattarella spoke at the Day of Remembrance ceremony and emphasized the need to remember the Holocaust and the atrocities of the past to ensure they are never repeated. He also mentioned the dangers of denialism and the insidiousness of racism and intolerance, which are still present today. The president condemned the "diffused consensus" that allowed the unimaginable to happen and the moral apathy that often results from indifference. He called on Italians to remember the suffering of their soldiers and the courageous resistance of those who fought against the Nazi-fascist regime. Other political figures, including the premier and the president of the Senate, also condemned the Holocaust and the racial laws of 1938, while the former prime minister emphasized the importance of defending the state of Israel. Translate into italian