#machine learning Tech News.
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Anthropic is urging AI labs to consider slowing development due to rapid model advancements. The company cites internal data on accelerating model capabilities and warns that frontier models may soon improve themselves without human intervention. Anthropic is using public benchmarks and internal data to show AI is accelerating AI system development. The company believes a global pause in AI development would be beneficial.
Qualcomm AI Hub Models are used in a hands-on coding tutorial for classification, object detection, and hardware-aware deployment. The tutorial covers setting up the required package, loading MobileNet-V2 for local PyTorch inference, and handling input-shape issues. It also includes running inference on sample and real images, inspecting top predictions, and executing a YOLOv7 object detection example. The tutorial extends the workflow with a hardware-aware deployment example.
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