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			<title>Quantization-Aware Training: INT8/INT4 Models That Maintain Quality</title>
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			<description>Naive INT8 drops MMLU 24%. QAT drops it 2.4%. Train with fake quantization so the model learns resilience. GPTQ, mixed-precision, deployment recipes.</description>
			<pubDate>Sat, 27 Sep 2025 00:00:00 GMT</pubDate>
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			<pubDate>Tue, 23 Sep 2025 00:00:00 GMT</pubDate>
			<author>josedab@gmail.com (José David Baena)</author>
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