Discover Sony's Model Compression Toolkit (MCT) at YOLO VISION 2023. Overcome edge AI challenges, demystify quantization, and explore real-time deployment. Join us on the journey from research to implementation.
The YOLO VISION 2023 (YV23) event, hosted at the Google for Startups campus in Madrid showcased a curated lineup of speakers cherry-picked from the AI community. Among them was Amir Servi, Sony’s Edge Deep Learning Product Manager who delivered an insightful presentation on bridging the gap between AI research to real-time edge where he unveiled the wonders of Sony's Model Compression Toolkit (MCT).
Amir Servi expertise in AI and technology shines through, setting the stage for an enlightening exploration of model compression and quantization techniques tailored for efficient Edge deployment.
Amir delved into the challenges of deploying AI models on edge devices, emphasizing the hurdles posed by limited resources and hardware restrictions. During his talk, he introduced Sony's Model Compression Toolkit (MCT), an open-source tool seamlessly integrated into PyTorch and TensorFlow.
Amir uncovered the impressive features of MCT. From hardware-aware quantization to state-of-the-art algorithms and the automation of parameter search, MCT emerged as a versatile toolkit ready to tackle the complexities of real-world AI deployment.
Amir demystified quantization techniques, offering a glimpse into the world of PTQ, GPTQ, and their impactful results. The audience marveled at the success of PTQ with mixed precision and the remarkable compression rates achieved for the Ultralytics YOLOv8 model.
In a nutshell, Amir’s talk illuminated the path between AI research and real-time implementation. The collaboration deepened our understanding and left us inspired by the possibilities that MCT brings to the ever-evolving field of machine learning using YOLO models.
Stay tuned for more exciting updates as we continue to unravel the mysteries of AI with industry leaders like Amir Servi!
Curious to learn more? Watch the full talk here!
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