Jul 28, 11:46 PM

Machine Learning Breakthroughs: $1800 Training, 6GB Text, and Reduced Data Requirements

Recent advancements in machine learning have demonstrated significant improvements in the efficiency and cost of training models. A notable example includes training a diffusion model for just $1800, significantly lower than traditional costs. Additionally, a BERT model was trained to outperform the original using a single GPU in a single day. Another achievement involved training a BERT model up to the quality of T5 using only 6GB of text, which is 745 times less data than usual, distilled from the Pile, in under 60 hours. Furthermore, a CLIP competitive model was trained on just 1/400 of the data typically required. These developments, in contrast to the $3 billion spent on training alone, indicate a substantial reduction in resources needed for high-quality model training.

#Pile

Written with ChatGPT (GPT-4o).

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Dreaming Tulpa 🥓👑@dreamingtulpa
2 years ago
They trained a BERT diffusion model matching T5 quality on just 6GB of text, 745x less data than usual, distilled from the Pile, in under 60 hours 💀 It's so over https://t.co/UhX1kHkZDB https://t.co/pEmpmUukQx
Ethan@torchcompiled
2 years ago
They trained a CLIP competitive model on 1/400 of the data It’s so over https://t.co/Iv5SwgjUdv https://t.co/esCGqHgV8L
snats@snats_xyz
2 years ago
They trained on only 6GB of text, distilled from the Pile and got a BERT model up to the quality of T5 with 745x less data 💀 It's so over https://t.co/P1DQ4HKncG https://t.co/aPiKOQV2JA

Machine Learning Breakthroughs: $1800 Training, 6GB Text, and Reduced Data Requirements

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