Sensible AI 259: YOLOv9: Pc imaginative and prescient is alive and nicely

Whereas everyone seems to be tremendous hyped about generative AI, laptop imaginative and prescient researchers have been working within the background on important developments in deep studying architectures. YOLOv9 was simply launched with some noteworthy developments related to parameter environment friendly fashions. On this episode, Chris and Daniel dig into the small print and likewise focus on developments in parameter environment friendly LLMs, equivalent to Microsofts 1-Bit LLMs and Qualcomm’s new AI Hub.

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That includes:

• Chris Benson – Twitter, GitHub, LinkedIn, Web site
• Daniel Whitenack – Twitter, GitHub, Web site

Present Notes:

YOLOv9:

• Yolov9: Studying What You Wish to Study Utilizing Programmable Gradient Info
• Yolov9 Object Detection with Programmable Gradient Info (PGI) and Generalized Environment friendly
• Yolov9: A Complete Information and Customized Dataset Positive-Tuning
• YOLOv9 SOTA Machine Studying Object Detection Mannequin
• YOLOv9
• Unleashing the Energy of YOLOv9
• YOLOv9 with NNCF and OpenVINO
• ArXiv:2402.13616

Parameter environment friendly LLMs:

• Hugging Face Paper web page, 1-Bit LLMs
• ArXiv paper: “The Period of 1-bit LLMs: All Massive Language Fashions are in 1.58 Bits”
• Qualcomm AI Hub

One thing lacking or damaged? PRs welcome!