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YOLOv9: Computer vision is alive and well
Practical AI: Machine Learning, Data Science, LLM
Evolution of Model Precision and Quantization
Parameter efficient models are evolving from float 32 to float 16, eight, and four bit precision. A new concept of one bit LLMs with architecture bit net is emerging, representing a shift towards increased efficiency and flexibility in deployment scenarios. This progression mirrors the trend seen in computer vision models like RCNN, suggesting a rapid evolution in the field of LLMs.
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