Update 1-overview-and-build.md

Author: pareenaverma

content/learning-paths/servers-and-cloud-computing/vllm-acceleration/1-overview-and-build.md

@@ -144,5 +144,8 @@ Processed prompts: 100%|██████████████████
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-As CPU support in vLLM continues to mature, manual builds will be replaced by a simple `pip install` flow for easier setup in near future.
+As CPU support in vLLM continues to mature, these manual build steps will eventually be replaced by a streamlined pip install workflow for aarch64, simplifying future deployments on Arm servers.
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+
+You have now verified that your vLLM Arm64 build runs correctly and performs inference using Arm-optimized kernels.
+Next, you’ll proceed to model quantization, where you’ll compress LLM weights to INT4 precision using llmcompressor and benchmark the resulting performance improvements.