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Advancements in Parameter Efficient Computer Vision Models
The chapter explores the developments in computer vision models, focusing on YOLO V9's parameter efficiency and flexibility, alongside discussing fine-tuning for different scenarios and the reduced computational demands. Additionally, it delves into the use cases of one bit LLMs in scenarios like disaster relief and the concept of BitNet for large language models.