Tutorials on Ai Model Compression

Learn about Ai Model Compression from fellow newline community members!

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  • Redux
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GPTQ vs AWQ on SageMaker: Faster AI Inference

Two formats, two bets about which weights matter. GPTQ compresses a trained model to 4 bits in a single pass. It quantizes one weight column at a time, then uses second-order sensitivity data to spread that rounding error across the weights it hasn't touched yet. AWQ goes another way. It finds the…
Thumbnail Image of Tutorial GPTQ vs AWQ on SageMaker: Faster AI Inference
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
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What is Model distillation and Why Companies are doing it

Model distillation moves knowledge from a large, accurate model into a smaller, faster one. The big model plays "teacher," the compact model plays "student," and the student learns to copy the teacher's outputs while running on a fraction of the compute. You keep most of the accuracy and pay far…
Thumbnail Image of Tutorial What is Model distillation and Why Companies are doing it
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
•Last Updated:
00
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