Qualcomm Developer Network | AI Model Efficiency Toolkit (AIMET) Data Free Quantization @QualcommDeveloper | Uploaded 1 month ago | Updated 1 hour ago
Dive into the world of data-free quantization with this informative training session by Qualcomm AI Research. This video focuses on the AI Model Efficiency Toolkit (AIMET), specifically exploring techniques like post-training quantization, cross-layer equalization, and bias correction. Ideal for developers and researchers aiming to optimize their machine learning models without the need for additional data.
In this video, you will learn about:
Post-Training Quantization Techniques - this segment covers techniques that do not require fine-tuning or additional data. Learn how these techniques are particularly effective for layers with significant variations in tensor value ranges.
Cross-Layer Equalization and Bias Correction - we explain these advanced data-free quantization techniques. Discover how cross-layer equalization adjusts the range and scale between connected layers, and how bias correction adjusts for shifts in output due to quantization.
Detailed Explanation of Bias Correction Methods - gain insights into two specific methods of bias correction: empirical bias correction, which uses model samples, and a different method that uses batch norm statistics instead of direct data.
This tutorial is perfect for those looking to deepen their understanding of model quantization and efficiency without relying on large datasets.
Thank you for watching! Get started with AIMET today: qualcomm.com/developer/software/ai-model-efficiency-toolkit
AIMET Github: github.com/quic/aimet
Subscribe: More QDN videos: http://tinyurl.com/2p8xmcw6
Do you have technical questions? Join our developer community at Discord: discord.gg/THUPBtskgs
ABOUT Qualcomm Developer Network (QDN) is a comprehensive program designed to equip the next generation of mobile pioneers to develop what’s next. Our collection of software and hardware tools and resources is designed so you can build upon our foundational technologies in new and innovative ways, creating the power to build products, enrich lives and even transform entire industries. At Qualcomm Developer Network, we aim to help you kickstart your development by being the catalyst for your vision, today, tomorrow, and in the future.
#qualcomm #ai
Dive into the world of data-free quantization with this informative training session by Qualcomm AI Research. This video focuses on the AI Model Efficiency Toolkit (AIMET), specifically exploring techniques like post-training quantization, cross-layer equalization, and bias correction. Ideal for developers and researchers aiming to optimize their machine learning models without the need for additional data.
In this video, you will learn about:
Post-Training Quantization Techniques - this segment covers techniques that do not require fine-tuning or additional data. Learn how these techniques are particularly effective for layers with significant variations in tensor value ranges.
Cross-Layer Equalization and Bias Correction - we explain these advanced data-free quantization techniques. Discover how cross-layer equalization adjusts the range and scale between connected layers, and how bias correction adjusts for shifts in output due to quantization.
Detailed Explanation of Bias Correction Methods - gain insights into two specific methods of bias correction: empirical bias correction, which uses model samples, and a different method that uses batch norm statistics instead of direct data.
This tutorial is perfect for those looking to deepen their understanding of model quantization and efficiency without relying on large datasets.
Thank you for watching! Get started with AIMET today: qualcomm.com/developer/software/ai-model-efficiency-toolkit
AIMET Github: github.com/quic/aimet
Subscribe: More QDN videos: http://tinyurl.com/2p8xmcw6
Do you have technical questions? Join our developer community at Discord: discord.gg/THUPBtskgs
ABOUT Qualcomm Developer Network (QDN) is a comprehensive program designed to equip the next generation of mobile pioneers to develop what’s next. Our collection of software and hardware tools and resources is designed so you can build upon our foundational technologies in new and innovative ways, creating the power to build products, enrich lives and even transform entire industries. At Qualcomm Developer Network, we aim to help you kickstart your development by being the catalyst for your vision, today, tomorrow, and in the future.
#qualcomm #ai
