Post Training Quantization with OpenVINO Toolkit
Post Training Quantization with OpenVINO Toolkit
Aug 9, 2021
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Akshay Ratnawat on Instagram: "🚨 Mistake Most Candidates Make Most candidates say: “4-bit quantization is better because it’s smaller and cheaper.” That answer instantly exposes shallow production experience. A 2% model error can translate into real financial loss. Quantization is not a compression problem — it’s a numerical stability and risk problem. 🛠️ The Solution (What Senior Engineers Do) 8-bit Quantization (INT8) - “For production, I’d default to 8-bit quantization. It preserves near-id
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