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Fix typo and clarify model format description
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content/learning-paths/mobile-graphics-and-gaming/litert-sme/3-buid-model.md

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@@ -76,7 +76,7 @@ fc_fp32 = converter.convert()
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save_litert_model(fc_fp32, "fc_fp32.tflite")
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```
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The model above is created in FP32 format. As mentioned in the previous section, this operator can invoke the KleidiAI SME2 micro-kernel for acceleration.
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The model `fc_fp32.tflite` is created in FP32 format. As mentioned in the previous section, this operator can invoke the KleidiAI SME2 micro-kernel for acceleration.
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You can also optimize this Keras model using post-training quantization to create a LiteRT model that suits your requirements.
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