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LINKEDIN OK · 47D

  • Most computer-vision pipelines don't fail on the model. They fail on the data loader.

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  • We cut inference cost 60% for a logistics client. The model didn't change.

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  • Fine-tuning is not the answer to your RAG problem. Here is what is.

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  • We shipped a defect-detection system that runs on a ₹4,000 edge device.

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  • Your LLM eval suite is probably measuring the wrong thing.

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qQreateAI1,284 followers · Promoted
Most computer-vision pipelines don't fail on the model. They fail on the data loader. We spent three weeks last quarter debugging a model that was doing exactly what it was told. The images arriving… see more
#MachineLearning#MLOps#ComputerVision
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