Update micro-kernel support description in 3-buid-model.md

Clarified the description of micro-kernel integration in LiteRT.

Author: Jiaming97

content/learning-paths/mobile-graphics-and-gaming/litert-sme/3-buid-model.md

@@ -9,7 +9,7 @@ layout: learningpathall
 ### KleidiAI SME2 support in LiteRT
 
 Only a subset of KleidiAI SME, SME2 micro-kernels has been integrated into XNNPACK.
-These micro-kernels support operators using the following data types and quantization configurations in the LiteRT model. 以下列出的每个operator，kleidiai都会有对应的micro-kernels
+These micro-kernels support operators using the following data types and quantization configurations in the LiteRT model.
 Other operators are using XNNPACK’s default implementation during the inference.
 
 * Fully connected 
@@ -127,4 +127,4 @@ save_litert_model(fc_int8_static, "fc_static_int8.tflite")
 
 This quantization method quantizes both the activations and the weights to INT8.
 
-KleidiAI provides INT8 packing micro-kernels for both the activations and weights matrix, as well as INT8 matrix multiplication micro-kernels.
+KleidiAI provides INT8 packing micro-kernels for both the activations and weights matrix, as well as INT8 matrix multiplication micro-kernels.