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reacted to schuler's post with 🚀 about 1 month ago
📢 New Research Alert: Making Language Models Smaller & Smarter! Thrilled to share the latest technical report demonstrating how to reduce language model parameters by 77% while maintaining performance. The secret? Grouped pointwise convolutions. Yes. We brought a method from computer vision to the transformers arena. 🔑 Key Findings: • 77% parameter reduction. • Maintained model capabilities. • Improved generalization. Paper: https://www.researchgate.net/publication/388835829_SAVING_77_OF_THE_PARAMETERS_IN_LARGE_LANGUAGE_MODELS_TECHNICAL_REPORT Code: https://github.com/joaopauloschuler/less-parameters-llm
reacted to schuler's post with 🔥 about 1 month ago
📢 New Research Alert: Making Language Models Smaller & Smarter! Thrilled to share the latest technical report demonstrating how to reduce language model parameters by 77% while maintaining performance. The secret? Grouped pointwise convolutions. Yes. We brought a method from computer vision to the transformers arena. 🔑 Key Findings: • 77% parameter reduction. • Maintained model capabilities. • Improved generalization. Paper: https://www.researchgate.net/publication/388835829_SAVING_77_OF_THE_PARAMETERS_IN_LARGE_LANGUAGE_MODELS_TECHNICAL_REPORT Code: https://github.com/joaopauloschuler/less-parameters-llm
reacted to schuler's post with 👍 about 1 month ago
📢 New Research Alert: Making Language Models Smaller & Smarter! Thrilled to share the latest technical report demonstrating how to reduce language model parameters by 77% while maintaining performance. The secret? Grouped pointwise convolutions. Yes. We brought a method from computer vision to the transformers arena. 🔑 Key Findings: • 77% parameter reduction. • Maintained model capabilities. • Improved generalization. Paper: https://www.researchgate.net/publication/388835829_SAVING_77_OF_THE_PARAMETERS_IN_LARGE_LANGUAGE_MODELS_TECHNICAL_REPORT Code: https://github.com/joaopauloschuler/less-parameters-llm
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reacted to schuler's post with 🚀🔥👍 about 1 month ago
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📢 New Research Alert: Making Language Models Smaller & Smarter!

Thrilled to share the latest technical report demonstrating how to reduce language model parameters by 77% while maintaining performance.

The secret? Grouped pointwise convolutions. Yes. We brought a method from computer vision to the transformers arena.

🔑 Key Findings:
• 77% parameter reduction.
• Maintained model capabilities.
• Improved generalization.

Paper: https://www.researchgate.net/publication/388835829_SAVING_77_OF_THE_PARAMETERS_IN_LARGE_LANGUAGE_MODELS_TECHNICAL_REPORT
Code: https://github.com/joaopauloschuler/less-parameters-llm
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